{"jobs":[{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437000002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370189002,"location":{"name":"Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437000002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ227R42","title":"ソリューションアーキテクト (プリセールス)","company_name":"Databricks","first_published":"2026-03-05T09:32:12-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ227R42\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、\u0026lt;a href=\u0026quot;https://x.com/databricks\u0026quot;\u0026gt;X\u0026lt;/a\u0026gt;、\u0026lt;a href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;、\u0026lt;a href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;でDatabricksをフォローしてください。\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;仕事の内容\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;あなたがもたらす影響：\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;見込み客をDatabricksの評価と採用へ導きます。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客のユースケースのディスカバリー\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;既存顧客のDatabricks環境の最適化\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks製品改善のための活動\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;必要な条件/経験:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;エンタープライズアカウントとの業務経験\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;望ましい経験/スキル:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8428882002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366831002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8428882002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ327R31","title":"デリバリーソリューションアーキテクト","company_name":"Databricks","first_published":"2026-03-05T06:43:29-05:00","language":"ja","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R31\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。\u0026lt;br\u0026gt;このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門知識を活かしてコミュニケーションをとる能力が求められます。本ポジションは、日本のフィールド・エンジニアリング・ディレクター/Technical GM の直属となります。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;あなたがもたらす影響 :\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ソリューション・アーキテクトと連携し、重要顧客におけるユースケースの全体的な需要計画を把握します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricksの主要なユースケースにおいて、Technical Win後のアカウント戦略と実行計画を主導します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;複数の営業チームや社内関係者と連携し、特定のユースケースや顧客に対する技術的な責任者となります。お客様がDatabricksの導入を決定したワークロードについて、不確実性を取り除き、オンボーディング、有効化、成功、本稼働、そして健全な利用を推進します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;お客様が合意したユースケースの本番稼働や運用に関する技術的な問題や質問に対し、最初の窓口として対応します。特に、大規模で複雑な組織においては、複数のユースケースを担当することが多くあります。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;社内の専門家（共有サービス、ユーザー教育、オンボーディング／技術サービス、サポートなど）と連携し、自身の業務範囲や専門知識を超えるタスクを適切に割り振ります。必要に応じて、より専門的な技術エキスパートにもエスカレーションを行います。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;主要なユースケースを本番環境へ迅速に移行させるための視点を構築し、プロフェッショナルサービスと連携して提案書の作成を進めます。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricksの製品・エンジニアリングチームと連携し、新製品のイノベーション、プライベートプレビュー、アップグレードのニーズに対応します。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;以下のワークストリームをカバーするため、顧客に接するすべての技術職およびチームの活動を網羅する実行計画を策定します。\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;本番環境へ移行する主要なユースケース\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;有効化／ユーザー成長計画\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;製品導入（Databricksのレイクハウス・ビジョンを導入するための戦略と活動）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;現在の投資に対するオーガニックなニーズ（例：クラウドコスト管理、チューニング＆最適化）\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;エグゼクティブおよび運用ガバナンス\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;利用状況や顧客の状態に関するKPIレポート（投資状況、重要なリスク、製品導入、ユースケースの進捗状況など）を、Technical GMに定期的に報告します。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;必要な条件/経験:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;データおよびAI領域における技術的なプロジェクト/プログラムのデリバリーに責任を持ち、顧客との技術的な議論や設計の選択に貢献した8年以上の経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python、SQL、またはScalaでのプログラミング経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客と直接対面するプリセールス、技術アーキテクト、カスタマーサクセス、またはコンサルティングの経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;分散データシステムに関連するソリューション・アーキテクチャの理解。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;特定のプロジェクト成果物に対し、ビジネス価値と成果を結びつける方法の理解。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;アカウント、ステークホルダー、リソース管理の責任を含む技術的なプログラムまたはプロジェクト管理の経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客企業のシニア・エグゼクティブとの間で、複雑かつ重要なエスカレーションを解決した経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;自由形式のディスカバリー・ワークショップの実施、戦略的ロードマップの作成、ビジネス分析、複雑なプログラム/プロジェクトのデリバリー管理の経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;目標（Quota、Goalsなど）に対する達成実績。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Databricksについて\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、\u0026lt;a href=\u0026quot;https://x.com/databricks\u0026quot;\u0026gt;X\u0026lt;/a\u0026gt;、\u0026lt;a href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;、\u0026lt;a href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;でDatabricksをフォローしてください。\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6918763002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5632983002,"location":{"name":"Bengaluru, India; Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":6918763002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-985","title":"Account Executive ","company_name":"Databricks","first_published":"2023-12-12T05:19:55-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As an Account Executive your mission will be to help further build our India business, which is one of our fastest growing markets in APJ. The Databricks Sales Team is driving growth through strategic and innovative partnership with our customers, helping businesses thrive by solving the world\u0026#39;s toughest problems with our solutions. You will be inspiring and guiding customers on their data journey, making organisations more collaborative and productive than ever before. You will play an important role in the business in India, with the opportunity to strategically build your territory in close partnership with the business leaders. Using your passion with technology and drive to build, you will help businesses all across India reach their full potential, through the power of Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prospect for new customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assess your existing customers and develop a strategy to identify and engage all buying centres\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify the most viable use cases in each account to maximise Databricks\u0026#39; impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and work with teams to maximise the impact of the Databricks ecosystem on your territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build value with all engagements to promote successful negotiations and close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote the Databricks enterprise cloud data platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-focused by delivering technical and business results using the Databricks\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Teamwork\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early-stage company and you know how to navigate and be successful in a fast-growing organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of sales experience in SaaS/PaaS, or Big Data companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs and important decision-makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies and big data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while upselling existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056342002,"name":"Mumbai, India","location":"Mumbai, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8441877002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372170002,"location":{"name":"Australian Capital Territory, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8441877002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R53","title":"Account Executive - Federal","company_name":"Databricks","first_published":"2026-05-14T02:55:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R53\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re on a mission to help organisations use data and AI to solve the world’s toughest problems — and few opportunities are more rewarding than driving positive change across Australia\u0026#39;s Federal sector. We’re looking for a passionate and results-driven Enterprise Account Executive to help our government partners harness the full power of the Databricks platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a pioneering sales role within our Public Sector Sales team, reporting directly to the Senior Sales Director. You’ll work at the forefront of digital transformation in the Federal Sector, helping agencies reimagine how they deliver outcomes and play a pivotal role in shaping Databricks’ presence across the country. As a successful candidate, you are a creative, energetic self-starter who understands the sales process. You know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always hunting for new opportunities, you will be asked to close net new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota accomplishment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion real-world change: Lead initiatives that make measurable impact — from accelerating innovation in health and education to supporting sustainability and economic development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape Databricks’ Public Sector footprint: Identify, structure, and close strategic opportunities that align our capabilities with Australia’s digital priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire through connection: Build trusted relationships with senior decision-makers, tell compelling stories about our impact, and influence at the highest levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute with excellence: Manage the end-to-end sales cycle — from prospecting and initial engagement to closing transformative deals and driving platform adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate for success: Work with solution architects, customer success, and global teams to deliver solutions that empower customers and ensure long-term success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What We Look For:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for impact — you’re motivated by helping organisations use technology for the public good.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in Federal or Public Sector sales, ideally in Cloud, Data, or SaaS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and structured in approach, with strong execution and accountability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and relationship-building skills with senior stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Growth mindset, creativity, and adaptability in dynamic, innovative environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of Spark and Big Data is highly desirable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security clearance (NV1) preferred. If not, eligible to apply for NV1 clearance\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4040015002,"name":"Australian Capital Territory, Australia","location":"Australian Capital Territory, Australia","child_ids":[],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438983002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371025002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8438983002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ127R284","title":"Account Executive - Public Sector","company_name":"Databricks","first_published":"2026-03-19T20:13:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ127R284\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of our accelerating APJ growth, Databricks is looking for a dynamic Account Executive to join the team. This exciting Sales role will make an important impact on revenue and the expansion of our business in Public sector (Singapore).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Account Executive, your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within a specific vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Evangelize Databricks\u0026#39; Unified Analytics Platform powered by Spark and launch the Databricks brand in Accounts across all industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospect, identify, and source new sales opportunities, building pipeline individually and with the Databricks SDR team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with business and technical decision-makers and lead them through the evaluation and buying process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed individual activity, pipeline, and annual revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive customer success and upsell in existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a Territory Strategy focused on the public sector industry and other industries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience selling SaaS solutions to Public Sector/ Enterprise/mid-market/commercial/ Customers in Singapore.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution and business-outcomes-focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to simply articulate intricate cloud \u0026amp;amp; big data technologies and their business value for the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success and upward trajectory in whatever you have done\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7726495002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6041334002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":[],"value_type":"multi_select"}],"id":7726495002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1359","title":"Account Executive, Singapore","company_name":"Databricks","first_published":"2025-05-09T02:32:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;As we continue to increase our presence in the world of Unified Data Analytics and AI, we\u0026#39;re looking for a creative, driven, and execution-oriented Enterprise Account Executive to sell and maximize the huge market opportunity that exists for Databricks today. As an Enterprise Account Executive reporting to the Regional Sales Director, you will have experience selling in the Enterprise segment. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Evangelize Databricks\u0026#39; Unified Analytics Platform powered by Spark and launch the Databricks\u0026amp;nbsp;brand in Enterprise Accounts across all industries\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Prospect, identify and source new sales opportunities, building pipeline individually and with the\u0026amp;nbsp;Databricks SDR team\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Engage with business and technical decision-makers and lead them through the evaluation and\u0026amp;nbsp;buying process\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Exceed individual activity, pipeline, and annual revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Drive customer success and upsell existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Create a Territory Strategy across all industries\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;5+ years of experience selling SaaS solutions to Enterprise customers in ASEAN region\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Proven success in Enterprise Sales roles, ideally in big data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Demonstrable experience in selling innovation, ideally in big data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Solution and business-outcomes-focused sales approach (Command of the Message, MEDDPIC,\u0026amp;nbsp;Challenger Sale)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;p1\u0026quot;\u0026gt;Ability to simply articulate intricate cloud \u0026amp;amp; big data technologies and their business value for the\u0026amp;nbsp;customer\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003040002,"name":"APAC","location":"APAC","child_ids":[4033855002,4003042002,4012513002,4033552002,4033856002,4024418002,4045931002,4040879002,4039465002,4084805002,4056344002,4056342002,4056343002,4056341002,4056349002,4056350002,4056345002,4029277002,4056339002,4056340002,4056351002,4045932002,4057500002,4056346002,4040880002,4056338002,4033878002,4033877002,4038814002,4040015002,4034019002,4007112002,4012490002,4002843002,4057499002],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604614002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436796002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604614002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R255","title":"Accounting Manager","company_name":"Databricks","first_published":"2026-07-01T11:59:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R255\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. Reporting to the Senior Accounting Manager, the Accounting Manager will play a crucial role in the close process through cross-functional collaboration, workpaper review, and driving process improvements for close efficiency and accuracy. Moreover, you will also support quarterly reviews, the annual audit, system integrations, and internal reporting — partnering closely with Accounting, FP\u0026amp;amp;A, and Procurement. As a key contributor to system implementations and automation initiatives, you\u0026#39;ll help advance our collective goals of close acceleration and global process ownership.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive accountability and ownership across the global close processes to ensure timeliness and accuracy of deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive adoption of AI and automation across your close areas, including AI-assisted reconciliations, automated accrual workflows, and leveraging the Databricks platform to yield close insights and reduce manual data preparation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and manage accounting staff, leading the coordination of the monthly, quarterly and annual close and reporting activities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve scalability and reduce manual effort - identify and implement process improvements, standard templates, and control points to simplify workflows, increase automation where possible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review monthly journal entries, reconciliations, and accounting analysis for accruals (specifically cloud), and other functional areas, as needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support M\u0026amp;amp;A activity including consolidation of acquired entities, involvement in new transactions, and integration into Databricks\u0026#39; accounting infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review monthly fluctuation analysis for operating expenses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with cross-functional teams, such as Technical Accounting, FP\u0026amp;amp;A, Procurement, and AP on monthly close matters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and review support to be provided to external audit team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support SOX compliance over the financial statement close cycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and implement process improvements and automation to reduce the time to close and improve the accuracy of underlying accounting records\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Play an active role in our ERP transformation to SAP S/4HANA, contributing to design decisions, testing, and change management as we modernize our finance systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform special projects and financial analysis as needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;This is an individual contributor role with the opportunity to build and lead a team as the organization grows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 3+ years of public accounting and 3+ years of industry experience in a high-growth technology or SaaS environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Credentials:\u0026lt;/strong\u0026gt; CPA and Bachelor\u0026#39;s Degree in Accounting or Finance required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Accounting:\u0026lt;/strong\u0026gt; Deep understanding of U.S. GAAP and how to apply accounting rules across multiple processes, systems, and close areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems \u0026amp;amp; ERP: \u0026lt;/strong\u0026gt;Experience with ERP systems; SAP S/4HANA experience preferred. Prior ERP implementation experience is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The Automation Mindset: \u0026lt;/strong\u0026gt;Proven track record driving automation and AI adoption in accounting operations, with hands-on experience implementing tools that reduce manual work and improve close accuracy. Familiarity with data platforms like Databricks is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ownership \u0026amp;amp; Mindset:\u0026lt;/strong\u0026gt; Execution-focused, deadline-driven, and process-oriented. You take responsibility for delivering quality work in a fast-paced environment and proactively identify and drive improvement opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership:\u0026lt;/strong\u0026gt; Experience managing and coaching accounting staff, with a track record of developing others and driving team accountability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$145,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$200,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8099751002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6089228002,"location":{"name":"Remote - India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8099751002,"updated_at":"2026-07-24T22:31:16-04:00","requisition_id":"CSQ326R35","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2025-07-31T09:39:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;CSQ326R35\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8611391002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439351002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8611391002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"CSQ427R173","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2026-07-12T22:34:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req: CSQ427R173\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering\u0026quot;\u0026gt;Databricks AI research\u0026lt;/a\u0026gt;\u0026amp;nbsp;to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel once every 4-8 weeks to see customers (as needed)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language Proficiency: Native-level fluency in Japanese and professional working proficiency in English (both written and verbal).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8546367002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6413668002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8546367002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ327R177","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2026-05-13T08:21:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;CSQ327R177\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from \u0026lt;a href=\u0026quot;https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering\u0026quot;\u0026gt;Databricks AI research\u0026lt;/a\u0026gt; to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as \u0026lt;a href=\u0026quot;https://www.databricks.com/dataaisummit\u0026quot;\u0026gt;Data + AI Summit\u0026lt;/a\u0026gt;, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel once every 4-8 weeks to see customers (as needed)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,155 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8593713002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6432546002,"location":{"name":"Remote - United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8593713002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ427R191","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2026-07-12T11:25:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;AI Engineer - FDE (Forward Deployed Engineer)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID: CSQ427R191\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: United Kingdom - Remote (must be based in the UK for this role)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We welcome remote applicants located near our offices. Preferred locations: London (UK),\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to: Senior Manager - AI FDE, EMEA\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from \u0026lt;a href=\u0026quot;https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering\u0026quot;\u0026gt;Databricks AI research\u0026lt;/a\u0026gt; to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel once every 4-8 weeks to see customers (as needed)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569390002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422794002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8569390002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ227R195","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2026-07-07T22:58:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R195\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;We require fluency in English and have a preference for candidates who also speak Mandarin\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8574655002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6424906002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8574655002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ427R171","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2026-06-04T02:43:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R171\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from \u0026lt;a href=\u0026quot;https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering\u0026quot;\u0026gt;Databricks AI research\u0026lt;/a\u0026gt; to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel once every 4-8 weeks to see customers (as needed)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8298792002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6312034002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8298792002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ227R47","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2025-12-09T11:05:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R47\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from our \u0026lt;a href=\u0026quot;https://www.databricks.com/research/mosaic\u0026quot;\u0026gt;Mosaic AI Research\u0026lt;/a\u0026gt; to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as \u0026lt;a href=\u0026quot;https://www.databricks.com/dataaisummit\u0026quot;\u0026gt;Data + AI Summit\u0026lt;/a\u0026gt;, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4033877002,"name":"New South Wales, Australia","location":"New South Wales, Australia","child_ids":[4002843002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8330188002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6312034002,"location":{"name":"Melbourne, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8330188002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ227R47","title":"AI Engineer - FDE (Forward Deployed Engineer)","company_name":"Databricks","first_published":"2025-12-09T15:25:42-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R47\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from our \u0026lt;a href=\u0026quot;https://www.databricks.com/research/mosaic\u0026quot;\u0026gt;Mosaic AI Research\u0026lt;/a\u0026gt; to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as \u0026lt;a href=\u0026quot;https://www.databricks.com/dataaisummit\u0026quot;\u0026gt;Data + AI Summit\u0026lt;/a\u0026gt;, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4033877002,"name":"New South Wales, Australia","location":"New South Wales, Australia","child_ids":[4002843002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8397501002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352478002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8397501002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"SLSQ327R184","title":"AI Operations","company_name":"Databricks","first_published":"2026-02-11T13:38:16-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;SLSQ327R184\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Product Manager, AI Ops\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;We are reimagining GTM at Databricks and are seeking a hands-on, technical Product Manager to own AI-powered GTM agents end-to-end - building and prototyping agents directly on Databricks. You\u0026#39;ll sit on the AI Ops team, between senior GTM leadership, Sales Ops, and the field - translating field reality into a product roadmap that improves how Databricks sells at every stage of the motion.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;This is a hands-on IC engineering role for someone who understands how AEs, BDRs, and CSMs actually operate and wants to build the agents that reimagine GTM processes in the age of AI.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Build agents on Databricks (the core of the role):\u0026lt;/strong\u0026gt; Design, prototype, and ship GTM agents yourself on the Databricks platform. Write the workflow logic and tools, stand up and iterate on agents in notebooks and SQL, and debug and validate behavior with your own queries. This is hands-on building, not spec-and-handoff.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Agent behavior and quality:\u0026lt;/strong\u0026gt; Define and implement how agents behave: decision logic, escalation paths, governance guardrails, and edge-case handling. Build evaluation in from the start: run experiments and A/B tests, measure quality, and tune prompts and workflows based on what the results show.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Own your agent surface end-to-end:\u0026lt;/strong\u0026gt; Set the 2-quarter roadmap for your agent area, make the prioritization calls, and write the lightweight specs (PRDs / Business Intent Docs) that frame what you build. Advocate for regional and segment specific needs as team roadmaps come together.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Voice of the field:\u0026lt;/strong\u0026gt; Run structured feedback loops with end users (often AEs and front-line managers) and convert what you hear directly into agent improvements you build and ship yourself rather than handing off a backlog.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What We Look For: \u0026lt;/strong\u0026gt;The two things that matter most: you can build on Databricks yourself, and you have a strong gut for product development, UI, and the seller experience.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Hands-on technical builder for the AI-stack: \u0026lt;/strong\u0026gt;You build on Databricks. You\u0026#39;re comfortable in notebooks and SQL, can stand up and iterate on agents and workflows on the platform yourself, read and debug an AI workflow, and write a query to validate behavior. This is a build role, not a spec-and-handoff role.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Strong understanding of the seller experience:\u0026lt;/strong\u0026gt; You have a sharp gut for product development and UI, and you can tell when an agent helps a seller vs. gets in the way and creates more overhead. You can sit with an AE for an hour and walk away with a prioritized list of where to build, and you can feel out the difference between a personal preference and a best practice worth replicating.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Pattern recognition \u0026amp;amp; judgement: \u0026lt;/strong\u0026gt;You take field feedback seriously even when the data disagrees, and you know the difference between a one-off complaint and a signal worth a roadmap slot.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Bias to ship\u0026lt;/strong\u0026gt;: The roadmap moves fast and you\u0026#39;ll own rollout gates, balancing speed against quality.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 5+ years in product management, GTM strategy, sales ops, or a field-adjacent role such as Solutions Architect, with at least 3 years owning a product or program end-to-end. A strong, firsthand understanding of the AE workflow and how reps actually sell matters more than the title on your resume. Hands-on experience building on Databricks (SQL, notebooks, and agent or workflow tooling) or similar technology stacks is a strong plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Why This Role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;This is one of the top FY27 GTM bets at Databricks and the MVP is in production globally with 1,200+ sellers. You will have an outsized impact on how Databricks sells in FY27. If you want to build and innovate at the bleeding edge of what\u0026#39;s possible with AI and system automation, and do it inside a mature, high-velocity business with real stakes, this is the role for you.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$125,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$171,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$112,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$154,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$106,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$146,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$100,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$137,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4027391002,"name":"Sales Operations","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8501390002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6395891002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8501390002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ427R62","title":"AI Solutions Architect (Pre-sales) - Strategic Accounts","company_name":"Databricks","first_published":"2026-05-02T05:50:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;FEQ427R62\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect for Strategic Accounts in the Benelux Field Engineering team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Technical Strategy \u0026amp;amp; Leadership: Lead the technical strategy for key strategic accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data \u0026amp;amp; AI practitioners, business domains and all the way up to C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Advisory: Act as a trusted advisor to VP \u0026amp;amp; BU-1 leaders, driving alignment through negotiations and ensuring long-term technical commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Adoption: Move beyond \u0026quot;proof of concept\u0026quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentorship: Coach junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for: \u0026lt;/strong\u0026gt;\u0026lt;em\u0026gt;(Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!)\u0026lt;/em\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical spike in AI toolings \u0026amp;amp; solutions combined with broad\u0026amp;nbsp;expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also be looking to assess your skills with AI-assisted coding and tooling.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills in English required as a minimum.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Notes on the role:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;This will be an office-based contract (Amsterdam), with a hybrid schedule.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8632401002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447640002,"location":{"name":"Atlanta, Georgia; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; New York City, New York; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8632401002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"SLSQ327R469","title":"Alliance RVP, Boston Consulting Group (BCG)","company_name":"Databricks","first_published":"2026-07-15T17:53:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R469\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;As the Alliance Leader, you will own the partner management function for Boston Consulting Group (BCG).\u0026amp;nbsp; This includes strategic partnership planning, sponsor development, capability development, solution development, thought leadership, partnership promotion, business development, and relationship management.\u0026amp;nbsp; You will report to the VP, Partner Program.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will expand the \u0026lt;strong\u0026gt;mindshare\u0026lt;/strong\u0026gt; for Databricks within the BCG partner organization, primarily by nurturing and developing multiple sponsors and stakeholders that have a vested interest in the Databricks partnership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build a \u0026lt;strong\u0026gt;healthy and sustainable services business\u0026lt;/strong\u0026gt; by expanding the skills and assets, encouraging thought leadership, supporting the development of relevant offerings, promoting the relationship, building a network of stakeholders, and identifying and advancing the pipeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will \u0026lt;strong\u0026gt;demonstrate the impact\u0026lt;/strong\u0026gt; of your partner on Databricks adoption (primarily via executive influence and thought leadership)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Leadership:\u0026amp;nbsp; experience working with senior executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Management Consulting:\u0026amp;nbsp; 10+ years of experience with management consulting providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relationship Management \u0026amp;amp; Planning:\u0026amp;nbsp; balancing priorities within a relationship to optimize outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working as a Team:\u0026amp;nbsp; the ability to work across teams to drive outcomes, including account teams, sales management, solution architects, enablement leaders, cloud specialists, field marketing, and operations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execution Readiness:\u0026amp;nbsp; support practice and skills development for C\u0026amp;amp;SI Partners with a balanced approach to enablement programs, differentiated asset \u0026amp;amp; offering development, internal promotion, marketing activities and delivery excellence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good Governance:\u0026amp;nbsp; work with your partner to ensure the right governance is in place, including agreements, executive relationships and processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,775 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001012002,"name":"Business Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8632403002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447641002,"location":{"name":"Atlanta, Georgia; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; New York City, New York; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8632403002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"SLSQ327R541","title":"Alliance RVP, McKinsey","company_name":"Databricks","first_published":"2026-07-15T18:02:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;SLSQ327R541\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;As the Alliance Leader, you will own the partner management function for McKinsey.\u0026amp;nbsp; This includes strategic partnership planning, sponsor development, capability development, solution development, thought leadership, partnership promotion, business development, and relationship management.\u0026amp;nbsp; You will report to the VP, Partner Program.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will expand the \u0026lt;strong\u0026gt;mindshare\u0026lt;/strong\u0026gt; for Databricks within the McKinsey partner organization, primarily by nurturing and developing multiple sponsors and stakeholders that have a vested interest in the Databricks partnership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build a \u0026lt;strong\u0026gt;healthy and sustainable services business\u0026lt;/strong\u0026gt; by expanding the skills and assets, encouraging thought leadership, supporting the development of relevant offerings, promoting the relationship, building a network of stakeholders, and identifying and advancing the pipeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will \u0026lt;strong\u0026gt;demonstrate the impact\u0026lt;/strong\u0026gt; of your partner on Databricks adoption (primarily via executive influence and thought leadership)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Leadership:\u0026amp;nbsp; experience working with senior executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Management Consulting:\u0026amp;nbsp; 10+ years of experience with management consulting providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relationship Management \u0026amp;amp; Planning:\u0026amp;nbsp; balancing priorities within a relationship to optimize outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working as a Team:\u0026amp;nbsp; the ability to work across teams to drive outcomes, including account teams, sales management, solution architects, enablement leaders, cloud specialists, field marketing, and operations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execution Readiness:\u0026amp;nbsp; support practice and skills development for C\u0026amp;amp;SI Partners with a balanced approach to enablement programs, differentiated asset \u0026amp;amp; offering development, internal promotion, marketing activities and delivery excellence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good Governance:\u0026amp;nbsp; work with your partner to ensure the right governance is in place, including agreements, executive relationships and processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,775 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001012002,"name":"Business Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8495065002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6393256002,"location":{"name":"Seoul, South Korea; Singapore; Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8495065002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ427R271","title":"APJ Manufacturing \u0026 Automotive Industry GTM Leader","company_name":"Databricks","first_published":"2026-04-21T00:51:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ427R271\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Manufacturing industry go-to-market (GTM) motion across Asia Pacific and Japan (APJ). As a key member of our global industry GTM team, you will shape and drive how Databricks engages the industrial sectors in one of the world\u0026#39;s most dynamic and complex regional markets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports to the Global GTM Head for Manufacturing, Transportation, and Energy, with deep day-to-day collaboration with APJ sales, field engineering, and GTM leadership. You will operate at the intersection of industry expertise, customer engagement, and commercial strategy - helping Databricks win in a market where data and AI are redefining how physical products are built, delivered, and optimized.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you bring deep industry domain knowledge, a bias for action, and a proven track record of harnessing the transformative potential of data and AI to drive real business value - we want to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the strategic and operational execution of GTM initiatives across the manufacturing and automotive industries in APJ, driving pipeline growth and accelerating customer adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build strong alignment with APJ sales, field engineering, marketing, partnerships, and product teams to develop and execute industry-specific GTM programs that convert market opportunity into revenue\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the APJ region — with particular focus on Japan, Korea, and India\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel regularly across the APJ region to support customer meetings, executive engagements, and industry events\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Business, Engineering, or a related field; MBA or equivalent post-graduate qualification strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of leadership experience in the manufacturing sector, including at least 5 years in a GTM, strategy, or business development role within enterprise technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level domain knowledge in one or more of the following areas: software-defined vehicles, industrial AI, agentic supply chain management, or AI-driven engineering and R\u0026amp;amp;D\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with key manufacturing and automotive industry standards bodies and frameworks across the APJ region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of the modern data and AI technology landscape — and how it applies to manufacturing operations, quality, supply chain, and innovation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building trusted relationships with senior executives in a multilingual, multicultural market like APJ\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication skills — written and verbal — with the ability to translate technical and data concepts into compelling business narratives for executive audiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4019773002,"name":"Go To Market ","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7586263002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5981391002,"location":{"name":"Bellevue, Washington; Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["University Recruiting"],"value_type":"multi_select"}],"id":7586263002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1336","title":"Associate Product Manager, New Grad (2027 Start)","company_name":"Databricks","first_published":"2024-08-08T18:52:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1336\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We\u0026#39;re hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 APM cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring for San Francisco, CA, Mountain View, CA, and Bellevue, WA.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deeply understand customer problem space and establish the rails for viable solution space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engineers and designers to ship features on the Databricks platformWork with a team to build features for the Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own your project end-to-end — design, build, launch, and iterate on feedbackManage your project end-to-end, including design, code, launch and feedback\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build with scale, quality, and security in mind from day oneLearn about building a platform that scales quickly while maintaining quality and security\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in computer science or related engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pursuing a bachelor\u0026#39;s or master\u0026#39;s in computer science or a related engineering field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ve used AI tooling for both personal productivity and development projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have some first hand experience with SQL and/or Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re hands-on and learn by doing — happy to build, test, and iterate your way to an answer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You use analytical skills to make data-driven decisions (e.g. analyzing product usage)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re excited to solve ambiguous problems with a collaborative team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You stay curious and keep learning, whether it\u0026#39;s a new technology, a customer\u0026#39;s domain, or a corner of the product you haven\u0026#39;t touched\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$133,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$150,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001023002,"name":"University Recruiting","child_ids":[],"parent_id":null}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8608900002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438344002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8608900002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ227R368","title":"AWS Cloud Partner Solutions Architect — EMEA","company_name":"Databricks","first_published":"2026-06-29T06:07:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS ↔ Databricks alliance across the region — today a\u0026amp;nbsp;\u0026lt;strong\u0026gt;$220M trailing-year consumption book growing at +69.7% YoY\u0026lt;/strong\u0026gt;, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the \u0026quot;better-together\u0026quot; technical narrative for Databricks on AWS.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS — through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reporting to:\u0026lt;/strong\u0026gt; Director, Field Engineering (Partner Solutions Architect).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What the role owns:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AWS-sourced pipeline \u0026amp;amp; EMEA AWS consumption growth\u0026lt;/strong\u0026gt; — act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of \u0026lt;strong\u0026gt;+60% YoY growth / $297.86M target\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The EMEA AWS SME community\u0026lt;/strong\u0026gt; — convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15–20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner enablement at scale\u0026lt;/strong\u0026gt; — sustain the training engine that feeds pipeline 2–3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training ↔ Databricks L\u0026amp;amp;E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Joint product contribution \u0026amp;amp; reference architectures\u0026lt;/strong\u0026gt; — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch (\u0026quot;Moonwalk+\u0026quot;), Agent Bricks ↔ Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic-account unblock \u0026amp;amp; multicloud arbitration\u0026lt;/strong\u0026gt; — lead technical arbitration in EMEA\u0026#39;s dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive alignment \u0026amp;amp; external brand\u0026lt;/strong\u0026gt; — run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks\u0026#39; hyperscaler revenue mix.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow field-wide AWS capability — through the SME community, certification programmes, and reusable architectures — so AWS depth is distributed across the EMEA field rather than concentrated in one person.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive hands-on experience as a data professional in a modern, cloud-based data stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hyperscaler-alliance experience (AWS strongly preferred)\u0026lt;/strong\u0026gt; with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AWS-specific technical depth\u0026lt;/strong\u0026gt; — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue ↔ Unity Catalog federation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing multiple, frequently changing priorities across multiple teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The role requires up to \u0026lt;strong\u0026gt;40% travel\u0026lt;/strong\u0026gt; across EMEA — to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent).\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8611600002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438344002,"location":{"name":"Berlin, Germany; Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8611600002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ227R368","title":"AWS Cloud Partner Solutions Architect — EMEA","company_name":"Databricks","first_published":"2026-06-29T06:37:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS ↔ Databricks alliance across the region — today a\u0026amp;nbsp;\u0026lt;strong\u0026gt;$220M trailing-year consumption book growing at +69.7% YoY\u0026lt;/strong\u0026gt;, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the \u0026quot;better-together\u0026quot; technical narrative for Databricks on AWS.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS — through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reporting to:\u0026lt;/strong\u0026gt; Director, Field Engineering (Partner Solutions Architect).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What the role owns:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AWS-sourced pipeline \u0026amp;amp; EMEA AWS consumption growth\u0026lt;/strong\u0026gt; — act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of \u0026lt;strong\u0026gt;+60% YoY growth / $297.86M target\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The EMEA AWS SME community\u0026lt;/strong\u0026gt; — convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15–20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner enablement at scale\u0026lt;/strong\u0026gt; — sustain the training engine that feeds pipeline 2–3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training ↔ Databricks L\u0026amp;amp;E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Joint product contribution \u0026amp;amp; reference architectures\u0026lt;/strong\u0026gt; — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch (\u0026quot;Moonwalk+\u0026quot;), Agent Bricks ↔ Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic-account unblock \u0026amp;amp; multicloud arbitration\u0026lt;/strong\u0026gt; — lead technical arbitration in EMEA\u0026#39;s dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive alignment \u0026amp;amp; external brand\u0026lt;/strong\u0026gt; — run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks\u0026#39; hyperscaler revenue mix.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow field-wide AWS capability — through the SME community, certification programmes, and reusable architectures — so AWS depth is distributed across the EMEA field rather than concentrated in one person.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive hands-on experience as a data professional in a modern, cloud-based data stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hyperscaler-alliance experience (AWS strongly preferred)\u0026lt;/strong\u0026gt; with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AWS-specific technical depth\u0026lt;/strong\u0026gt; — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue ↔ Unity Catalog federation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing multiple, frequently changing priorities across multiple teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The role requires up to \u0026lt;strong\u0026gt;40% travel\u0026lt;/strong\u0026gt; across EMEA — to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent).\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8611599002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438344002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8611599002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ227R368","title":"AWS Cloud Partner Solutions Architect — EMEA","company_name":"Databricks","first_published":"2026-06-29T06:37:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS ↔ Databricks alliance across the region — today a\u0026amp;nbsp;\u0026lt;strong\u0026gt;$220M trailing-year consumption book growing at +69.7% YoY\u0026lt;/strong\u0026gt;, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the \u0026quot;better-together\u0026quot; technical narrative for Databricks on AWS.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS — through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reporting to:\u0026lt;/strong\u0026gt; Director, Field Engineering (Partner Solutions Architect).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What the role owns:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AWS-sourced pipeline \u0026amp;amp; EMEA AWS consumption growth\u0026lt;/strong\u0026gt; — act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of \u0026lt;strong\u0026gt;+60% YoY growth / $297.86M target\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The EMEA AWS SME community\u0026lt;/strong\u0026gt; — convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15–20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner enablement at scale\u0026lt;/strong\u0026gt; — sustain the training engine that feeds pipeline 2–3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training ↔ Databricks L\u0026amp;amp;E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Joint product contribution \u0026amp;amp; reference architectures\u0026lt;/strong\u0026gt; — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch (\u0026quot;Moonwalk+\u0026quot;), Agent Bricks ↔ Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic-account unblock \u0026amp;amp; multicloud arbitration\u0026lt;/strong\u0026gt; — lead technical arbitration in EMEA\u0026#39;s dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive alignment \u0026amp;amp; external brand\u0026lt;/strong\u0026gt; — run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks\u0026#39; hyperscaler revenue mix.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow field-wide AWS capability — through the SME community, certification programmes, and reusable architectures — so AWS depth is distributed across the EMEA field rather than concentrated in one person.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive hands-on experience as a data professional in a modern, cloud-based data stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hyperscaler-alliance experience (AWS strongly preferred)\u0026lt;/strong\u0026gt; with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AWS-specific technical depth\u0026lt;/strong\u0026gt; — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue ↔ Unity Catalog federation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing multiple, frequently changing priorities across multiple teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The role requires up to \u0026lt;strong\u0026gt;40% travel\u0026lt;/strong\u0026gt; across EMEA — to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent).\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8423165002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364196002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8423165002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"P-1526","title":"Business Development Representative","company_name":"Databricks","first_published":"2026-02-25T14:48:29-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1526\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;em\u0026gt;We are building a pipeline of exceptional Business Development talent for anticipated future hiring across our AMER organization.\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;While this posting may not correspond to an immediate open vacancy, we expect continued growth in this area and welcome applications from candidates interested in future opportunities with our team. \u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;Qualified applicants will be considered as positions become available.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-starter, eager to learn and develop on solution selling, Big Data \u0026amp;amp; AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Problem solver, strong communicator, and ability to learn technical sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-centric. Provide a great customer experience for Databricks’ prospective customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of sales or business development experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to understand technical concepts and a genuine enthusiasm for technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Determination and courage to succeed and lean in to build the next best enterprise software company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistent, measurable over-achievement in past experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity and hunger to learn and stay up-to-date about the big data/AI industry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Desire to build a career in technology sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A high degree of ownership and grit\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$95,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$95,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003099002,"name":"Sales Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8590201002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6430958002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8590201002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R458","title":"Business Development Representative (Italian-speaking)","company_name":"Databricks","first_published":"2026-06-16T06:32:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R458\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world’s toughest problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for an Italian-speaking Business Development Representative to represent Databricks to prospective customers in the Italian market. This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the Senior Sales Development Manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to really make a difference in a budding regional team.This role will be hybrid in our Paris office.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rapidly developing your skill-set around value-based selling, big data and AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide a great customer experience for Databricks’ prospective customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conducting account and prospect research to inform and develop compelling outreach campaigns to drive engagement in key target accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintaining active inbound and outbound communications with prospects using creative follow-up, including personalised email, cold calling and social selling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the wider sales team to develop territory strategy, build pipeline and drive adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Uncover and identify client needs and progress conversations into sales opportunities through communicating how Databricks will meet them effectively.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior successful sales experience is a plus but not necessary\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Determination to succeed, learn and build the next best enterprise software company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistent, measurable over-achievement in past experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great communication skills, especially listening and questioning in phone-based and in-person scenarios\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A genuine interest for big data/AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must be fluent in Italian and English (minimum C1 proficiency in both)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003099002,"name":"Sales Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7294953002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5862311002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Recruiting"],"value_type":"multi_select"}],"id":7294953002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1074","title":"Candidate Experience Coordinator (fixed-term contract) ","company_name":"Databricks","first_published":"2024-03-25T18:20:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As a Candidate Experience Coordinator at Databricks, you\u0026#39;ll be the engine that powers our recruiting efforts, scheduling interviews, and moving candidates through the pipeline across Europe. As one of the first points of contact for candidates, you\u0026#39;ll partner with Recruiters, Sourcers, and hiring teams to deliver an exceptional interviewing experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate high volumes of virtual and in-person interviews by navigating complex scheduling scenarios across multiple stakeholders\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary point of contact for candidates, managing timely, professional, and friendly communication (written and verbal) to ensure candidates feel supported throughout their journey\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle candidate travel arrangements and expenses for in-person interviewing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executing other post-interviewing tasks such as scheduling debriefs and reference checks, and generating offer letters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we\u0026#39;re looking for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Effective communication and prioritization skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to thrive in a fast-paced environment with evolving needs\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative mindset and openness to feedback\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactive approach to resolving ambiguous challenges\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of high accuracy and attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An interest in technology and artificial intelligence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;C1/C2 level English proficiency\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001020002,"name":"Recruiting","child_ids":[],"parent_id":4001271002}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8460871002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6379565002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8460871002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ427R2","title":"Core Account Executive, Nordics (Digital Natives)","company_name":"Databricks","first_published":"2026-03-17T11:10:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R2\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;Want to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks.\u0026lt;br\u0026gt;Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;As a Core Account Executive (Digital Natives) at Databricks, you will own a focused territory of ~10 large Digital Native spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospectng and identifying new use cases and growing consumption, and can guide deals forward to compress decision cycles. You love understanding a product in-depth, and are passionate about communicating its value to customers and partners.\u0026amp;nbsp;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;You will report to the Senior Manager, Emerging Enterprise Nordics. This role is based in Stockholm, though we are open to strong candidates located in other parts of Sweden.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your territory and develop a successful execution strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive quarter-on-quarter consumption growth in existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity and quarterly revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify new use case opportunities and showcase value to existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote the value of the Databricks\u0026#39; Data Intelligence Platform and other products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Good understanding of the data platform and cloud ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Some exposure to the software industry and understanding of selling SaaS, Data and Business Value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience growing consumption and closing commit deals in a direct sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competent with prospecting research and ability to map out key stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced understanding of MEDDPICC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience exceeding sales targets/quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree or relevant work experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8441865002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372164002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8441865002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R43","title":"Core Account Executive - Public Sector","company_name":"Databricks","first_published":"2026-03-06T02:47:31-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R43\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re on a mission to help organisations use data and AI to solve the world’s toughest problems — and few opportunities are more rewarding than driving positive change across New South Wales Public Sector. We’re looking for a passionate and results-driven Enterprise Account Executive to help our government partners harness the full power of the Databricks platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a pioneering sales role within our Public Sector Sales team, reporting directly to the Senior Sales Director. You’ll work at the forefront of digital transformation in the Public Sector space, helping agencies reimagine how they deliver outcomes and play a pivotal role in shaping Databricks’ presence across the country. As a successful candidate, you are a creative, energetic self-starter who understands the sales process. You know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always hunting for new opportunities, you will be asked to close net new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota accomplishment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Impact You Will Have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion real-world change: Lead initiatives that make measurable impact — from accelerating innovation in health and education to supporting sustainability and economic development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape Databricks’ Public Sector footprint: Identify, structure, and close strategic opportunities that align our capabilities with Australia’s digital priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire through connection: Build trusted relationships with senior decision-makers, tell compelling stories about our impact, and influence at the highest levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute with excellence: Manage the end-to-end sales cycle — from prospecting and initial engagement to closing transformative deals and driving platform adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate for success: Work with solution architects, customer success, and global teams to deliver solutions that empower customers and ensure long-term success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What We Look For:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for impact — you’re motivated by helping organisations use technology for the public good.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in enterprise or Public Sector sales, ideally in Cloud, Data, or SaaS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and structured in approach, with strong execution and accountability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and relationship-building skills with senior stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Growth mindset, creativity, and adaptability in dynamic, innovative environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of Spark and Big Data is highly desirable\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8431935002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6367988002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8431935002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ227R234","title":"Customer Enablement Specialist","company_name":"Databricks","first_published":"2026-02-20T15:36:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R234\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;*This role is required to work in a hybrid office setting in our Bellevue, WA office.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Opportunity\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Databricks runs some of the largest customer enablement programs in the industry — workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This isn’t a sales or business development role — every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll manage a broad portfolio of accounts, supporting new and emerging personas — business users, analysts, and app developers — and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;What You\u0026#39;ll Do\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own a high-volume enablement pipeline — identifying learner needs, recommending tailored paths, and tracking adoption progress.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report key metrics — trained accounts, learner growth, conversion rates, and training revenue — using data to guide your priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What You Bring\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2–4 years in a technical, customer-facing role — technical training, pre-sales, enablement, or customer success preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Confidence delivering introductory technical content to non-expert audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of AI/ML concepts — able to explain how Databricks enables practical use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A data-driven mindset with strong organizational habits and comfort managing many concurrent accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Team-first attitude — proactive collaborator who knows when to escalate for deeper technical support.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Bonus Points\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to Databricks Apps, REST APIs, or AI agent concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a role with enablement or training-related revenue metrics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Why This Role, Why Now\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users — business analysts, app builders, domain experts — needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$86,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$119,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4049331002,"name":"Bellevue, Washington","location":"Bellevue, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582312002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428000002,"location":{"name":"Remote - California; Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8582312002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R408","title":"Cyber Security GTM Leader","company_name":"Databricks","first_published":"2026-06-12T11:41:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R408\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Cybersecurity Go-to-market (GTM) Leader, you will drive the global GTM strategy and execution of the Cybersecurity business at Databricks. You will play a pivotal role in accelerating cyber revenue growth by building scalable assets for the field, designing enablement programs, and driving key partnerships. You will be the domain expert and business executive for cybersecurity use-cases across all verticals and regions.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;In this role, you will set a clear GTM vision for Cybersecurity, work with a cross-functional team and focus relentlessly on execution of scalable sales programs. You will build a clear business plan for Cybersecurity that drives alignment across sales, industry vertical leaders, enablement, partner management, marketing, field engineering, sales programs, and other key stakeholders at the company. \u0026lt;br\u0026gt;\u0026lt;br\u0026gt;You have a strong POV on how Data+AI will transform Cybersecurity, a deep understanding of incumbant tools in the space, and possess the ability to enable the field to have strategic conversations with CxOs without requiring your direct involvement. This job will require travel for conferences and internal meetings. You will report to the Global VP of Financial Services, Cybersecurity, and Public Sector GTM.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and execute comprehensive sales programs that can be repeatable across multiple geographies and entities on a quarterly basis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a net-new GTM motion for horizontal security products targeted across all industry verticals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and foster new AI-driven use cases of the Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify operational gaps in the Cybersecurity GTM motion, be data-driven about quantifying business opportunities and execute improvement plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with the sales and pre-sales teams to create account-level plans.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale your expertise across the GTM organization via enablement, building repeatable assets, and articulating a clear strategy and vision for Data and AI in Cybersecurity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a trusted advisor to strategic customer security executives on security operations transformation, AI-readiness/governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Partner teams to develop strategic relationships with Systems Integrators and build joint sales motions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the marketing team to establish Databricks as a thought leader in the industry by authoring white-papers, representing Databricks at conferences, and designing novel Cybersecurity events for Databricks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with enablement teams to build programs that enhance the field’s ability to have executive security conversations. This includes general knowledge of Cybersecurity operations, legacy competitors, the AI security crisis/opportunity, evolving threats,\u0026amp;nbsp; industry regulations, and relevant case studies.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with marketing to develop tailored Cybersecurity case-studies, collateral, blogs and demand generation plans.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years experience working as a Cybersecurity executive at a leading Cybersecurity software company, consulting firm.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven sales program management skills.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven record of driving change for large entities with a strong understanding of how organizations make Cybersecurity decisions and ability to influence that decision making process.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Builder mentality and proven record of using AI to automate and augment GTM motion.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong customer-facing presence (CISO, IT and Business Leaders) and ability to cultivate executive relationships.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of the technical landscape in Cybersecurity with existing relationships across the space.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Humility, ability to work with cross-functional teams and strong people skills to inspire and lead cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Excellent analytical, strategic planning, and verbal/written communication skills, with the ability to convey complex information in a clear and concise manner.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$308,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$424,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$308,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$424,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$308,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$424,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$308,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$424,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4019773002,"name":"Go To Market ","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8575046002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6425091002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8575046002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ427R196","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-09T09:14:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R196\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, Spark and Databricks (or similar data platform)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056387002,"name":"Remote - France","location":"Remote - France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549681002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414912002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8549681002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R31","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-05-19T07:30:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R31\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python or Spark\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8609617002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399937002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8609617002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ227R319","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-25T18:44:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105413002,"name":"Field Engineering - FE Invested DSA","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033544002,"name":"New Jersey","location":"New Jersey","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8441894002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372178002,"location":{"name":"Finland; Remote - Denmark; Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8441894002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ227R121","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-03-03T10:48:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R121\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Locations - Sweden, Denmark, Finland (Hybrid/Remote)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing secure, scalable architecture\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Aligning people, processes, and technology\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establishing trusted advisor relationships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leveraging the broader ecosystem of Databricks experts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report directly to a DSA Manager within the Field Engineering organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create\u0026amp;nbsp; and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in PySpark, Python and Databricks (or similar data platform)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding and hands-on experience of solution architecture-related distributed data and analytics systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program coordination including account and stakeholder management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer technical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30%\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476496002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6385810002,"location":{"name":"Brisbane, Australia; Melbourne, Australia; Western Australia, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8476496002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ327R30","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-03-25T21:44:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R30\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549044002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414722002,"location":{"name":"Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8549044002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R11","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-02T01:37:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;REQ ID - CSQ427R11\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Location: Vancouver, BC | Calgary, AB | Edmonton, AB / Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$241,800 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8465963002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6381740002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8465963002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ427R20","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-03-23T03:11:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R20\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8554842002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6417048002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8554842002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ327R184","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-05-19T04:28:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R184\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, Spark, Databricks or similar Data Platform\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105413002,"name":"Field Engineering - FE Invested DSA","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8482406002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6388170002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8482406002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ227R25","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-03-27T03:06:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R25\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the Lakehouse platform. As a Delivery Solutions Architect (DSA), you will play a critical role during this journey. The DSA works across a small number of our largest or highest potential key accounts, collaborating across Databricks teams to accelerate the adoption and growth of the Databricks platform. As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon. This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers\u0026#39; executives and C-suite, elevating the conversation, and helping them realize the value of Databricks. You will report directly to a Director, Field Engineering, as part of your Business Unit\u0026#39;s Technical GM organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Key use cases moving from \u0026#39;win\u0026#39; to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of LH vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment Eg. Cloud Cost control, Tuning \u0026amp;amp; Optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience understanding architecture related distributed data systems, specifically within one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (e.g. Spark, Hadoop, Kafka)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts to address any onboarding or technical challenges outside of your remit or bandwidth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influencing and leading teams - especially without having direct reporting line responsibility for individuals within account and leadership teams, both internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences (technical, non technical) at all levels of an organization with particular success in building and maintaing strong CxO level relationship\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building and steering to a value case - business value consulting and realization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quota ownership, achievement and track record of great performance against objective target\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in both Korean and English (Native level Korean and Business level English) verbally and in writing\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056350002,"name":"Remote - South Korea","location":"Remote - South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8450551002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366831002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8450551002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ327R31","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-03-05T06:43:30-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Req ID: CSQ327R31\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment Eg. Cloud Cost control, Tuning \u0026amp;amp; Optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8609622002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399937002,"location":{"name":"Southwest - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8609622002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ227R319","title":"Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-25T18:45:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105413002,"name":"Field Engineering - FE Invested DSA","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033544002,"name":"New Jersey","location":"New Jersey","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8598012002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433995002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8598012002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"CSQ427R103","title":"Delivery Solutions Architect - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-06-18T13:04:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R103\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritized customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement/user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL, or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related to distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management, including account, stakeholder, and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in resolving complex and important escalations with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, goals, or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8548984002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414696002,"location":{"name":"Remote - Massachusetts; Remote - New York; Remote - Pennsylvania; Remote - Washington D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8548984002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R12","title":"Delivery Solutions Architect - Digital Native Business","company_name":"Databricks","first_published":"2026-05-18T13:48:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8548986002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414697002,"location":{"name":"Remote - California; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8548986002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ427R13","title":"Delivery Solutions Architect - Digital Native Business","company_name":"Databricks","first_published":"2026-05-18T14:51:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8442976002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372561002,"location":{"name":"Georgia; Illinois; Massachusetts; New York; North Carolina; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8442976002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ227R17","title":"Delivery Solutions Architect - Financial Services","company_name":"Databricks","first_published":"2026-04-10T15:19:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R17\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476399002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6385766002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8476399002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ327R23","title":"Delivery Solutions Architect - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-21T04:27:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R23\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549046002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414723002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8549046002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R106","title":"Delivery Solutions Architect - High-Tech \u0026 Manufacturing","company_name":"Databricks","first_published":"2026-05-15T16:12:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R106\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritized customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement/user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL, or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related to distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management, including account, stakeholder, and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in resolving complex and important escalations with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, goals, or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8559315002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6408838002,"location":{"name":"Charlotte, North Carolina; Delaware; Maryland; New Jersey; New York City, New York; Philadelphia, Pennsylvania; Remote - Virginia; Remote - Washington D.C.; West Coast - United States; West Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8559315002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R15","title":"Delivery Solutions Architect - Public Sector","company_name":"Databricks","first_published":"2026-05-21T00:10:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;small\u0026gt;CSQ426R15\u0026lt;/small\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;: \u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations, \u0026lt;strong\u0026gt;U.S. citizenship is required\u0026lt;/strong\u0026gt; to access classified information.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement/user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;U.S. citizenship\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related to distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management, including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in resolving complex and important escalations with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549248002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414762002,"location":{"name":"Remote - California; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - New York; Remote - Oregon; Remote - Texas; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8549248002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R16","title":"Delivery Solutions Architect - Startups \u0026 Emerging Enterprise","company_name":"Databricks","first_published":"2026-07-15T11:53:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers\u0026#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritized customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture for distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program or project management, including accountability for accounts, stakeholders, and resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex, high-stakes escalations with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, goals, or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8516118002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6401788002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8516118002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R185","title":"Deployment Strategist","company_name":"Databricks","first_published":"2026-04-22T05:10:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R185\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Deployment Strategist (DS), you are the critical bridge between a customer\u0026#39;s multi-million dollar business problem and Databricks\u0026#39; technical solution. You are a product manager for the field, owning the entire non-technical lifecycle of an FDE engagement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer\u0026#39;s political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, get it done execution mindset.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;C-Suite Scoping \u0026amp;amp; Value Definition: Partner with Sales to perform deep discovery, map the customer\u0026#39;s organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;End-to-End Product Ownership: Act as the CEO of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Agile Project Execution \u0026amp;amp; Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the escalation manager to unblock all technical or political issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution Launch \u0026amp;amp; Landing: Own the Day 0 launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic Handoff \u0026amp;amp; Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Executive Presence \u0026amp;amp; Communication: A Trusted Advisor with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product \u0026amp;amp; Strategy Mindset: A Product Thinker and Systems Thinker who can perform a SWOT analysis, understand a competitive landscape, and define what to build and why.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relentless Execution: An Execution Driver with a Hands-On mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a builder or founder capacity. (Alternatively: 5+ years in a senior, client-facing product or delivery role at a top-tier tech company or consultancy).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8548183002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414380002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8548183002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R152","title":"Deployment Strategist","company_name":"Databricks","first_published":"2026-05-15T10:34:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R152\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering\u0026amp;nbsp;\u0026lt;em\u0026gt;outcomes\u0026lt;/em\u0026gt;, not just a platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the \u0026quot;product manager\u0026quot; for the customer\u0026#39;s problem, responsible for the \u0026quot;why\u0026quot; and \u0026quot;what,\u0026quot; while our FDEs (Engineers) will be your partners responsible for the \u0026quot;how.\u0026quot;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Role Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Deployment Strategist (DS), you are the critical bridge between a customer\u0026#39;s multi-million dollar business problem and Databricks\u0026#39; technical solution. You are a \u0026quot;product manager for the field,\u0026quot; owning the entire non-technical lifecycle of an FDE engagement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer\u0026#39;s political and technical landscape, and, most importantly,\u0026amp;nbsp;\u0026lt;strong\u0026gt;scope the value\u0026lt;/strong\u0026gt;. You will define the\u0026amp;nbsp;\u0026lt;strong\u0026gt;Minimum Viable Product\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, \u0026quot;get it done\u0026quot; execution mindset.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;C-Suite Scoping \u0026amp;amp; Value Definition:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Partner with Sales to perform deep discovery, map the customer\u0026#39;s organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;End-to-End Product Ownership:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Act as the \u0026quot;CEO\u0026quot; of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agile Project Execution \u0026amp;amp; Delivery:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the \u0026quot;escalation manager\u0026quot; to unblock all technical or political issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Solution Launch \u0026amp;amp; Landing:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Own the \u0026quot;Day 0\u0026quot; launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Handoff \u0026amp;amp; Growth:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Presence \u0026amp;amp; Communication:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;A \u0026quot;Trusted Advisor\u0026quot; with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product \u0026amp;amp; Strategy Mindset:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;A \u0026quot;Product Thinker\u0026quot; and \u0026quot;Systems Thinker\u0026quot; who can perform a SWOT analysis, understand a competitive landscape, and define \u0026quot;what\u0026quot; to build and \u0026quot;why.\u0026quot;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Relentless Execution:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;An \u0026quot;Execution Driver\u0026quot; with a \u0026quot;Hands-On\u0026quot; mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ideal Experience:\u0026lt;/strong\u0026gt; Proven experience as a Deployment Strategist or in a high-growth startup environment in a hands-on ‘builder’ or ‘founder’ capacity. Alternatively, strong background in senior, client-facing product or delivery roles within leading technology companies or top-tier consultancies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven Skills:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8463063002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6380478002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8463063002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ327R60","title":"Deployment Strategist","company_name":"Databricks","first_published":"2026-05-06T11:29:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R60\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering \u0026lt;em\u0026gt;outcomes\u0026lt;/em\u0026gt;, not just a platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the \u0026quot;product manager\u0026quot; for the customer\u0026#39;s problem, responsible for the \u0026quot;why\u0026quot; and \u0026quot;what,\u0026quot; while our FDEs (Engineers) will be your partners responsible for the \u0026quot;how.\u0026quot;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Role Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Deployment Strategist (DS), you are the critical bridge between a customer\u0026#39;s multi-million dollar business problem and Databricks\u0026#39; technical solution. You are a \u0026quot;product manager for the field,\u0026quot; owning the entire non-technical lifecycle of an FDE engagement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer\u0026#39;s political and technical landscape, and, most importantly, \u0026lt;strong\u0026gt;scope the value\u0026lt;/strong\u0026gt;. You will define the \u0026lt;strong\u0026gt;Minimum Viable Product\u0026lt;/strong\u0026gt; for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, \u0026quot;get it done\u0026quot; execution mindset.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;C-Suite Scoping \u0026amp;amp; Value Definition:\u0026lt;/strong\u0026gt; Partner with Sales to perform deep discovery, map the customer\u0026#39;s organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;End-to-End Product Ownership:\u0026lt;/strong\u0026gt; Act as the \u0026quot;CEO\u0026quot; of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agile Project Execution \u0026amp;amp; Delivery:\u0026lt;/strong\u0026gt; Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the \u0026quot;escalation manager\u0026quot; to unblock all technical or political issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Solution Launch \u0026amp;amp; Landing:\u0026lt;/strong\u0026gt; Own the \u0026quot;Day 0\u0026quot; launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Handoff \u0026amp;amp; Growth:\u0026lt;/strong\u0026gt; Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Presence \u0026amp;amp; Communication:\u0026lt;/strong\u0026gt; A \u0026quot;Trusted Advisor\u0026quot; with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product \u0026amp;amp; Strategy Mindset:\u0026lt;/strong\u0026gt; A \u0026quot;Product Thinker\u0026quot; and \u0026quot;Systems Thinker\u0026quot; who can perform a SWOT analysis, understand a competitive landscape, and define \u0026quot;what\u0026quot; to build and \u0026quot;why.\u0026quot;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Relentless Execution:\u0026lt;/strong\u0026gt; An \u0026quot;Execution Driver\u0026quot; with a \u0026quot;Hands-On\u0026quot; mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ideal Experience:\u0026lt;/strong\u0026gt; 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a \u0026quot;builder\u0026quot; or \u0026quot;founder\u0026quot; capacity. (Alternatively: 5+ years in a senior, client-facing \u0026quot;product\u0026quot; or \u0026quot;delivery\u0026quot; role at a top-tier tech company or consultancy).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven Skills:\u0026lt;/strong\u0026gt; Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8194920002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6247960002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8194920002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"SLSQ127R35","title":"Digital Native Account Executive","company_name":"Databricks","first_published":"2026-06-17T04:11:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ127R35\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of our accelerating growth, Databricks is looking for a dynamic Digital Native Account Executive to join us in Seoul, Korea. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business. As a Digital Native Account Executive, your mission will be to acquire and grow some of our focus customers. You know how to sell within a variety of Digital Native Business vertical domains and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Korea.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Evangelize Databricks\u0026#39; Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with business and technical decision makers and lead them through the evaluation and buying process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed individual activity, pipeline and annual revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive customer success and upsell in existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a Territory Strategy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable experience of selling innovation, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to simply articulate intricate cloud \u0026amp;amp; big data technologies and their business value for the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success and upward trajectory in whatever you have done\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors Degree and 6+ years of full sales cycle experience selling SaaS solutions to Enterprise Customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8636157002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6449083002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8636157002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"MKTQ327R31","title":"Director, Americas Field Marketing at Databricks","company_name":"Databricks","first_published":"2026-07-16T14:37:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;MKTQ327R31\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Director, Americas Field Marketing, will lead the transformation of field marketing from event-centric to pipeline-obsessed, driving measurable revenue impact across half of our Americas business for Digital Natives, Startups, Retail, Communications, Media and Gaming, LATAM, and Canada business units. This role reports to the VP of Americas Marketing and owns the pipeline-generation strategy and execution, driving the next evolution of field marketing through data-driven program optimization, innovative demand generation, and scalable growth systems and processes. You\u0026#39;ll hire and lead a high-performing team that treats every dollar spent as an investment in a measurable pipeline, moving beyond traditional event metrics to focus on conversion rates, deal velocity, and revenue attribution.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Pipeline Ownership:\u0026lt;/strong\u0026gt; Deliver measurable pipeline targets with full accountability for lead-to-revenue conversion across regulated industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-Driven Strategy:\u0026lt;/strong\u0026gt; Help build Americas field marketing strategy based on rigorous ROI analysis, pipeline attribution, and predictive analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Program Evolution:\u0026lt;/strong\u0026gt; Transform team from event-focused to full-funnel demand generation, creating integrated campaigns that drive pipeline at every stage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Conversion Optimization:\u0026lt;/strong\u0026gt; Implement testing frameworks and optimization processes that continuously improve conversion rates from awareness to closed-won\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Revenue Attribution:\u0026lt;/strong\u0026gt; Use pipeline attribution and reporting to directly connect field marketing investments to revenue outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scalable Systems:\u0026lt;/strong\u0026gt; Design repeatable, scalable programs and processes that generate predictable pipeline growth in a hyper-growth environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Excellence:\u0026lt;/strong\u0026gt; Drive seamless handoffs between marketing and sales with SLA-driven lead management and pipeline acceleration programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Team Development:\u0026lt;/strong\u0026gt; Build and mentor a team of pipeline-focused field marketers who understand the full customer journey and revenue impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Pipeline Expertise:\u0026lt;/strong\u0026gt; 10+ years managing field programs with direct pipeline accountability and proven track record of exceeding revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data \u0026amp;amp; Analytics:\u0026lt;/strong\u0026gt; Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau, and marketing automation platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hyper-Growth Experience:\u0026lt;/strong\u0026gt; 7+ years scaling field marketing programs in fast-growing tech companies, with experience managing large budgets ($2M+) and demonstrating clear ROI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Team Leadership:\u0026lt;/strong\u0026gt; 5+ years building and leading high-performing field marketing teams with pipeline accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Revenue Operations: \u0026lt;/strong\u0026gt;Deep understanding of demand generation funnels, lead scoring, sales processes, and revenue operations in B2B environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Innovation Mindset:\u0026lt;/strong\u0026gt; Proven ability to create breakthrough programs beyond traditional events—digital experiences, account-based campaigns, and omnichannel strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems \u0026amp;amp; Process:\u0026lt;/strong\u0026gt; Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Stakeholder Management: \u0026lt;/strong\u0026gt;Strong partnership skills with sales leaders, with the ability to speak their language around pipeline, conversion, and revenue impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$223,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$307,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$201,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$276,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$189,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$178,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$245,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8627553002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6445619002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["People and HR"],"value_type":"multi_select"}],"id":8627553002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"GAQ327R302","title":"Director, Compensation","company_name":"Databricks","first_published":"2026-07-14T12:24:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R302\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a seasoned compensation leader to serve as a Director, Compensation, driving strategic impact across the business while leading and developing a team of client compensation partners. Reporting to the VP, Total Rewards, this role is responsible for building and delivering best-in-class compensation programs that help attract, retain, and motivate world-class talent across Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don\u0026#39;t believe compensation is just a number; it\u0026#39;s a tool to recognize that every employee is an owner and a part of our success. We are looking for a leader who combines deep technical compensation expertise with exceptional people leadership and a passion for building scalable, equitable programs.\u0026lt;/p\u0026gt;\n\u0026lt;h3 data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact, people leadership role that will effectively cover the below areas and the anticipated time spent on each:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Leading, coaching, and developing a team of three to four client compensation partners (25%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partnering with the VP Rewards and other team members to drive\u0026amp;nbsp; enterprise-wide compensation strategy, design, and program delivery (30%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration with People team members, business leaders, and other cross-functional partners on complex, sensitive compensation matters (25%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational excellence, tooling, and continuous improvement of compensation infrastructure (20%)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Compensation expertise\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know your craft — Deep mastery of job architecture, compensation frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design; demonstrated experience designing and scaling programs across a fast-growing, global organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know your data — Exceptional analytical horsepower with the ability to translate complex data into clear narratives, recommendations, and executive-ready insights; strong command of competitive trends in cash, equity, and total rewards; advanced capabilities in gSheets and Excel; proficiency in Tableau, SQL, Python, or AI-assisted analytics is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know the competition — Expert-level knowledge of tech compensation practices, particularly around equity strategy (new hire, refresh, and performance-based), and an ability to benchmark and evolve programs to stay ahead of the market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be rational — Ability to hold the tension between compensation philosophy, first-principles reasoning, and pragmatic business solutioning; comfortable making and defending difficult tradeoffs in ambiguous situations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;People leadership\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop talent — Proven track record of leading, mentoring, and growing a team of compensation professionals; ability to set a clear vision, delegate with confidence, and create an environment where the team does their best work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive accountability — Set clear goals and expectations, create feedback loops, and hold the team to a high bar while remaining a supportive and empowering manager\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model the craft — Remain hands-on where needed; serve as a thought partner and technical escalation point for your team on complex or high-stakes compensation decisions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Operational and partnership excellence\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build innovatively \u0026amp;amp; scale effectively — Architect frameworks and solutions that address today\u0026#39;s challenges while anticipating the needs of a rapidly scaling organization; champion consistency and repeatability without sacrificing flexibility\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage AI and automation — Define and execute a roadmap for next-generation compensation tooling and data infrastructure; actively leverage AI to improve market pricing, decision quality, manager enablement, and workflow efficiency; champion a culture of continuous improvement through technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational capability — Connect the dots across systems, stakeholders, and programs to deliver compensation products and cycles with precision and at scale; ensure data, workflows, and governance are built to support compliant, scalable execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Savvy collaborator — Partner closely with People Business Partners, Finance, Legal, and senior business leadership to understand, anticipate, and solve complex talent and business needs; navigate competing priorities and organizational dynamics to drive the best outcomes; serve as the compensation lead on M\u0026amp;amp;A diligence and integration activities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor — Serve as a credible, senior voice on the most sensitive and consequential compensation decisions across the company, including executive offers, critical retention situations, organizational restructuring, and cross-functional pay equity matters; bring sound judgment and data-backed recommendations every time\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What you\u0026#39;ll bring\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of progressive compensation experience, with at least 3 years in a people management role leading a team of compensation professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience in the tech sector — preferably at a high-growth private or pre-IPO company — with a strong grasp of how compensation strategy evolves across different stages of scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to design and deliver enterprise-wide compensation programs (year-end cycles, midyear, equity refresh, promotions) across a global, distributed workforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of operating as a senior business partner to founders, executives, and People leadership on high-stakes, time-sensitive compensation decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience using data and analytics to drive compensation decisions; comfort with tools like gSheets, Excel, and ideally Tableau, SQL, or Python\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$196,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$269,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$185,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$254,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$174,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$239,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001271002,"name":"People","child_ids":[4050564002,4001020002,4050563002,4050562002,4050565002],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8605147002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437028002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8605147002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ327R552","title":"Director, Enterprise","company_name":"Databricks","first_published":"2026-06-26T09:46:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R552\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;-San Francisco\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;-Seattle\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Enterprise Sales Director to join our growing Media business in the East Coast. You will lead a team of Enterprise Account Executives and you will be measured by achieving your team\u0026#39;s overall quota, and growing Databricks usage. This is a team of account executives that are passionate about building a data ecosystem in the region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the RVP, Enterprise.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and manage team of motivated Enterprise Account Executives to increase growth in strategic and emerging markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire a culture of teamwork, leading with value, and achieving desired customers outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop trust-based relationships with customers and partners to ensure long-term success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encourage learning and ongoing understanding of technical product details and our future product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead our Enterprise growth plans, ensure forecast accuracy and a predictable, high-growth business\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have the desire to build a collaborative, inspired team culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You live our core values: customer obsession, teamwork makes the dream work, own it, and let the data decide!\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience (10 or more years) building a high-growth sales team serving enterprise customers in the Big Data, Cloud, or SaaS Sales Industry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of exceeding sales quota\u0026#39;s in similar high-growth Enterprise software companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of value selling and structured methodologies e.g. MEDDPICC, Challenger, Command of Message\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of developing the partner ecosystem to help grow strategic enterprise territories\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success implementing strategies for usage and booking-based sales revenue models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007935002,"name":"Minnesota","location":"Minnesota","child_ids":[],"parent_id":4056360002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8538833002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6410243002,"location":{"name":"Ottawa, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8538833002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"SLSQ327R246","title":"Director, Enterprise Sales, Public Sector","company_name":"Databricks","first_published":"2026-05-07T09:05:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R246\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest business problems with Data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Enterprise Sales Director to lead our growing Public Sector business in Ottawa.\u0026amp;nbsp; Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team\u0026#39;s overall quota and growing Databricks\u0026#39; consumption. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a strong desire to drive value for our customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will oversee the sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the Canadian sales organization. We are looking for owners, who will go the extra mile and want to be the very best at what they do.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead a team of account executives, ensuring you coach them to develop the skills and behaviors they will need to succeed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report on revenue forecast and strategic GTM programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with cross-functional teams to manage a complete revenue and customer success process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire a culture of teamwork, leading with value and achieving desired customers outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop trust-based relationships with customers and partners to ensure long-term success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encourage learning and ongoing understanding of technical product details and our future product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish a revenue growth and investment plan in the first 90 days\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver our strategic growth plans, in collaboration with the other function leaders across Canada, ensure forecast accuracy and a predictable, high-growth business\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers within the Data, AI, Cloud, or SaaS Sales Industry, specifically within the Public Sector space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of exceeding sales quotas in similar high-growth technology companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to engage with and hire sales talent in the market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of value-based sales with both the business and IT stakeholders including C suite\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extended Executive relationship network with key customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of the partner ecosystem to help grow Enterprise strategic territories\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success implementing strategies for consumption and commitment-based sales revenue models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8397564002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352500002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8397564002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ127R195","title":"Director, Field Engineering","company_name":"Databricks","first_published":"2026-03-31T19:47:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ127R195\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Director, Field Engineering to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Asean region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team\u0026#39;s effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM, Asean and Greater China Region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team to embody and promote Databricks\u0026#39; customer-obsessed, teamwork and diverse culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support our growing consumption business focusing on customer value and supporting your SA team in this motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increased return on investment of Solutions Architect involvement in sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution and value-based selling field-engineering organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of business needs and revenue potential for accounts in the assigned region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Databricks\u0026#39; brand in the Asean region in partnership with the Marketing and Sales team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to elevate the engagement with a track record of driving large transactions and high growth customers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of transformational success and delivery of customer value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in complex strategic accounts generating +$1M ARR\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at instituting processes for technical field members to improve efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8397558002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352497002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8397558002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ427R187","title":"Director, Field Engineering","company_name":"Databricks","first_published":"2026-04-01T02:32:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Req: FEQ427R187\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a \u0026lt;strong\u0026gt;Director, Field Engineering\u0026lt;/strong\u0026gt; in Japan to join our world-class, hyper‑growth organization. In this role, you will lead first-line Managers and teams of pre-sales \u0026lt;strong\u0026gt;Solutions Architects\u0026lt;/strong\u0026gt;, focusing on complex, strategic accounts and driving our expansion in Japan across \u0026lt;strong\u0026gt;manufacturing and automotive\u0026lt;/strong\u0026gt;.\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will partner closely with Sales to grow product consumption, while coaching sales and pre‑sales teams to operate as a single, high-performing unit. You are adept at articulating complex, business value‑focused solutions, supporting sophisticated enterprise sales cycles, and building trusted relationships with senior stakeholders in large Japanese corporations. This role reports to the \u0026lt;strong\u0026gt;Technical GM – Japan\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and manage \u0026lt;strong\u0026gt;first-line Managers\u0026lt;/strong\u0026gt; and a growing team of technical pre‑sales \u0026lt;strong\u0026gt;Solutions Architects\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a highly collaborative culture within a rapid‑growth team, embodying and promoting Databricks’ \u0026lt;strong\u0026gt;customer‑obsessed\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;team‑oriented\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;diverse\u0026lt;/strong\u0026gt; culture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Increase the \u0026lt;strong\u0026gt;return on investment\u0026lt;/strong\u0026gt; of SA involvement in sales cycles by ensuring the right technical coverage and engagement model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build \u0026lt;strong\u0026gt;long-term, trust-based relationships\u0026lt;/strong\u0026gt; with customers; understand the local market landscape and trends, and report on forces that shape the strategic direction of accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion a \u0026lt;strong\u0026gt;solution- and value-based selling\u0026lt;/strong\u0026gt; motion across Field Engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate a strong understanding of business needs and revenue potential across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the \u0026lt;strong\u0026gt;Databricks brand in Japan\u0026lt;/strong\u0026gt; in partnership with the Marketing and Sales teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Second-line leadership\u0026lt;/strong\u0026gt; experience (manager of managers) leading teams of \u0026lt;strong\u0026gt;20+\u0026lt;/strong\u0026gt; individuals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in \u0026lt;strong\u0026gt;high‑growth enterprise software\u0026lt;/strong\u0026gt; pre‑sales, with senior‑level tenure at a reputable software company and \u0026lt;strong\u0026gt;deep experience in the Japan market\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to elevate customer engagement, with a track record of closing \u0026lt;strong\u0026gt;large, complex transactions\u0026lt;/strong\u0026gt; and scaling high‑growth customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership skills to \u0026lt;strong\u0026gt;influence, develop, and empower\u0026lt;/strong\u0026gt; Managers and ICs to achieve ambitious objectives as a team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven record of \u0026lt;strong\u0026gt;transformational impact\u0026lt;/strong\u0026gt; and delivery of measurable \u0026lt;strong\u0026gt;customer value\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building strong ecosystems of customer relationships and cross‑functional partnerships (\u0026lt;strong\u0026gt;Sales, Engineering, Marketing, Customer Success\u0026lt;/strong\u0026gt;, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting \u0026lt;strong\u0026gt;complex strategic accounts\u0026lt;/strong\u0026gt; generating \u0026lt;strong\u0026gt;$5M+ ARR\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep interest in and understanding of \u0026lt;strong\u0026gt;data‑driven decision making, AI, and cloud software models\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to implement \u0026lt;strong\u0026gt;scalable processes\u0026lt;/strong\u0026gt; for technical field teams to improve efficiency and execution quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bachelor’s degree\u0026lt;/strong\u0026gt; in Computer Science, Information Systems, Engineering, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Fluent Japanese\u0026lt;/strong\u0026gt; required; \u0026lt;strong\u0026gt;business‑level English\u0026lt;/strong\u0026gt; strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;​​\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8397552002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352494002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8397552002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ227R94","title":"Director, Field Engineering","company_name":"Databricks","first_published":"2026-02-24T15:32:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req ID - FEQ227R94\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Location: Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;em\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Ontario also will be considered.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Director, Field Engineering in Canada to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in Canada across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team\u0026#39;s effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM - Canada.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team. To embody and promote Databricks\u0026#39; customer-obsessed, teamwork and diverse culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increased return on investment of Solutions Architect involvement in sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution and value-based selling field-engineering organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of business needs and revenue potential for accounts in the assigned region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Databricks\u0026#39; brand in Canada in partnership with the Marketing and Sales team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the Canadian region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to elevate the engagement with a track record of driving large transactions and high growth customers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of transformational success and delivery of customer value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in complex strategic accounts generating +$5M ARR\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at instituting processes for technical field members to improve efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$221,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$304,150 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8628960002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6446157002,"location":{"name":"Georgia; Illinois; New York; Texas; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8628960002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R500","title":"Director, Field Engineering - Financial Services ","company_name":"Databricks","first_published":"2026-07-13T09:17:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R500\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers. You will also work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals. You will create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team\u0026#39;s effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team. Embody and promote Databricks\u0026#39; customer-obsessed, truth-seeking, diverse culture and a first principles mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution and value-based selling field-engineering organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of business needs and revenue potential for accounts in the assigned region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a thought leader for Databricks and in the Data and AI ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;At least 3 years of second-line leadership experience, managing teams of 30+ individuals and 10+ years of overall leadership experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software or cloud provider.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to elevate engagement, with a track record of driving large transactions and high-growth customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive operational rigor to manage a high-growth business, with the right cadence, drive visibility and support for customer issues and feature requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of transformational success and delivery of customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in positioning solutions in complex strategic accounts and finding a path to mutual value, and durable consumption on the Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at instituting processes for technical field members to improve efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8415095002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6361264002,"location":{"name":"Bellevue, Washington; Denver, Colorado; Mountain View, California; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8415095002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"GAQ426R237","title":"Director, Finance PMO, Strategy \u0026 Operations, FP\u0026A","company_name":"Databricks","first_published":"2026-02-12T12:55:26-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;GAQ426R237\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Overview:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Director of Finance PMO, Strategy and Operations supporting FP\u0026amp;amp;A to fundamentally re-imagine and evolve how our global Financial Planning \u0026amp;amp; Analysis (FP\u0026amp;amp;A) organization operates. Reporting directly to the Head of Finance Data, AI, and Strategy, this leader will serve as a strategic right-hand to FP\u0026amp;amp;A leadership and interface directly with the CFO, the Head of Sales, and other executive stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a traditional operations role; we are looking for a high-caliber strategist with a fresh perspective who can design the future state of FP\u0026amp;amp;A and personally drive the execution to get us there. You will lead massive, cross-functional programs that embed Data, AI, and modern ways of working into our core financial processes. Crucially, you will champion \u0026quot;Databricks on Databricks\u0026quot;—leveraging our own unified data intelligence platform to eliminate friction, automate workflows, and deliver predictive insights that accelerate our growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you possess a blend of elite strategic thinking (e.g., top-tier management consulting) and a proven track record of in-house corporate transformation, this role offers a massive platform for impact.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Advisor \u0026amp;amp; Design Partner:\u0026lt;/strong\u0026gt; Serve as a key sounding board and right-hand to senior FP\u0026amp;amp;A leadership to design organizational strategies, optimize corporate ways of working, and align financial planning with company-wide growth goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Transform FP\u0026amp;amp;A with Databricks:\u0026lt;/strong\u0026gt; Lead the charge in changing how FP\u0026amp;amp;A operates by embedding the Databricks platform, AI, and machine learning into core finance workflows—moving the team from descriptive reporting to scalable automation and predictive analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive High-Stakes, Cross-Functional Execution:\u0026lt;/strong\u0026gt;\u0026amp;nbsp; Design and execute against complex, large-scale initiatives across Finance, IT, Engineering, Product, and Go-to-Market (GTM).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Visibility \u0026amp;amp; Communication:\u0026lt;/strong\u0026gt; Own the narrative. Run FP\u0026amp;amp;A leadership forums, orchestrate the OKR and Quarterly Business Review (QBR) processes, and deliver high-impact executive communications to the CFO, Head of Sales, and other top-level leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercialization \u0026amp;amp; Scale:\u0026lt;/strong\u0026gt; Provide a strategic lens on commercialization and scale, ensuring financial processes seamlessly support evolving product strategies, pricing models, and GTM motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 12+ years of progressive experience, ideally combining elite management consulting with in-house leadership roles within high-growth corporate FP\u0026amp;amp;A or Business Operations functions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic FP\u0026amp;amp;A Expertise:\u0026lt;/strong\u0026gt; Deep, foundational knowledge of FP\u0026amp;amp;A architecture, combined with a distinct bias toward strategy and business transformation rather than purely routine operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Transformation Catalyst:\u0026lt;/strong\u0026gt; Proven success leading large-scale corporate transformations, re-architecting legacy workflows, and successfully managing the organizational change that comes with new technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data \u0026amp;amp; AI Tech Fluency:\u0026lt;/strong\u0026gt; Experience implementing or managing AI, machine learning, or advanced automation tools within a finance org. Familiarity with SQL, Python, or data analytics platforms is highly desirable; a passion for leveraging the Databricks platform to solve financial complexity is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Elite Executive Presence:\u0026lt;/strong\u0026gt; Exceptional communication and presentation skills (expert-level Google Slides). Ability to command a room, influence senior executives, and distill complex financial transformations into clear, actionable strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Industry Context:\u0026lt;/strong\u0026gt; Experience in the SaaS or high-tech enterprise software landscape. Exposure to corporate commercialization, pricing strategies, or product-led growth metrics is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Bachelor’s degree in Business, Finance, Economics, or a highly analytical field; MBA or advanced degree preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$221,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$305,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$199,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$274,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$188,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$259,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8632282002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447587002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing","University Recruiting"],"value_type":"multi_select"}],"id":8632282002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"MKTQ427R39","title":"Director, International Communications","company_name":"Databricks","first_published":"2026-07-21T15:00:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;MKTQ427R39\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is hiring a Director of International Communications to build and scale our global communications strategy. As Databricks grows its footprint, this role will own how that story gets told: new market entries, in-country investments, new offices, customer wins, and local business milestones that build Databricks\u0026#39; reputation market by market. This role will serve as a strategic communications advisor to regional and country leaders in Europe, Asia, and the Americas and will be responsible for the execution of communications programs across those regions. This is a strategic role: turning business momentum into locally resonant news that establishes Databricks as a leader in data and AI around the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What This Role Unlocks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communications advisor to regional leaders – \u0026lt;/strong\u0026gt;advise on PR, social, internal comms strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Regional news at scale\u0026lt;/strong\u0026gt; — a dedicated strategy for translating business growth across Europe, Asia, and the Americas into press moments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Local relevance, global consistency\u0026lt;/strong\u0026gt; — an approach tailored to each region\u0026#39;s media landscape while staying true to Databricks\u0026#39; global product and corporate narrative.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong in-market presence\u0026lt;/strong\u0026gt; — deep relationships with regional leadership, agencies, and field teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership for regional PR teams\u0026lt;/strong\u0026gt; — a dedicated manager and mentor for our international communications leads while building close relationships with U.S. based comms and product leaders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Regional Communications Strategy\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own Databricks\u0026#39; international communications strategy across three regions: Europe, Asia, and the Americas (13 countries).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Spot and drive market-specific news — expansions, investments, new offices, customer milestones, and partnerships — that builds Databricks\u0026#39; profile in each country.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evolve the communications strategy as the business scales into new and existing regions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Regional Partnership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the connective tissue between global communications strategy and on-the-ground business momentum in every region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional business leaders, ensuring strategy reflects local business priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with field marketing and country managers to identify stories worth telling on the ground\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Team Leadership \u0026amp;amp; Agency/Media Relationships\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage and support Databricks\u0026#39; communications leads internationally; set clear direction and priorities while providing the autonomy to run their markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage PR agency relationships across all 13 covered markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build direct relationships with key regional media so each market has the storytelling support it needs to land Databricks\u0026#39; news locally.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of experience in international, regional, or global communications, ideally in enterprise software, cloud, or AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record building regional press strategies and driving coverage across multiple international markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong people management experience, with a track record of developing communications professionals across international teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing PR agencies across diverse regions and media landscapes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong relationship-building skills with senior business leaders and field teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sharp news judgment — able to spot and shape a story from business developments like market entries, customer wins, or new offices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating across time zones and cultures, balancing global consistency with local relevance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel internationally as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569624002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422907002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569624002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ227R830","title":"Director, Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-09T01:32:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialist,\u0026lt;/strong\u0026gt; to lead a team of specialists responsible for growing the Databricks Lakebase business in Japan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569596002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422893002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569596002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R816","title":"Director, Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-08T11:54:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R816\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4013297002,"name":"Toronto, Canada","location":"Toronto, Canada","child_ids":[],"parent_id":4033854002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569608002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422899002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569608002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R822","title":"Director, Lakebase Sales Specialist- Financial Services","company_name":"Databricks","first_published":"2026-06-08T12:52:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R822\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569622002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422906002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569622002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R829","title":"Director, Lakebase Sales Specialists","company_name":"Databricks","first_published":"2026-06-10T01:05:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R829\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569602002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422896002,"location":{"name":"Sao Paulo, Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Brazil LTDA","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569602002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R819","title":"Director, Lakebase Sales Specialists","company_name":"Databricks","first_published":"2026-06-25T19:54:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R819\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, PaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4059191002,"name":"Sao Paulo, Brazil","location":"Sao Paulo, Brazil","child_ids":[],"parent_id":4034119002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569616002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422903002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569616002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R826","title":"Director, Lakebase Sales Specialists","company_name":"Databricks","first_published":"2026-06-15T10:51:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R826\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organisations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organisation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernisation, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialised GTM motions or scaling new product lines within a larger matrixed organisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organisations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569627002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422908002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569627002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R831","title":"Director, Lakebase Sales Specialists","company_name":"Databricks","first_published":"2026-06-09T10:03:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R831\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The Impact You Will Have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive Revenue Growth\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and Develop the Specialist Team\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What We Look For:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585150002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422906002,"location":{"name":"Melbourne, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8585150002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R829","title":"Director, Lakebase Sales Specialists","company_name":"Databricks","first_published":"2026-06-10T01:06:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R829\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569614002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422902002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569614002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R825","title":"Director, Lakebase Sales Specialists - Benelux \u0026 Nordics","company_name":"Databricks","first_published":"2026-06-18T05:46:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R825\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Sales Director, Lakebase Sales Specialists - Benelux \u0026amp;amp; Nordics\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Sales\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business for the Benelux \u0026amp;amp; Nordics region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialised sales motion across a regional field organisation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centres.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernisation, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organisations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernisation or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localise and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven\u0026amp;nbsp;experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialised GTM motions or scaling new product lines within a larger matrixed organisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organisations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567843002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422147002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8567843002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"SLSQ227R832","title":"Director, Lakebase Sales Specialists (Central region)","company_name":"Databricks","first_published":"2026-06-22T05:22:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R832\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;We are open to strong candidates based in other locations in Germany.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists across the Central region responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organisations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organisation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernisation, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialised GTM motions or scaling new product lines within a larger matrixed organisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organisations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569606002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422898002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569606002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R821","title":"Director, Lakebase Sales Specialists - HLS","company_name":"Databricks","first_published":"2026-06-26T08:26:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R821\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business within the Healthcare \u0026amp;amp; Life Sciences vertical.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569600002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422895002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569600002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R818","title":"Director, Lakebase Sales Specialists - Retail","company_name":"Databricks","first_published":"2026-06-08T09:49:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R818\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 14pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists - Retail, CPG, Travel \u0026amp;amp; Hospitality\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business across our RCT Vertical (Retail, CPG, Travel \u0026amp;amp; Hospitality).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$430,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$591,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7896551002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6118670002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7896551002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1384","title":"Director of Engineering","company_name":"Databricks","first_published":"2025-08-14T11:06:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;(P-1384)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at a large scale by applying your software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure consistent delivery against milestones and strong alignment with the field working \u0026quot;two-in-a-box\u0026quot; with product leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evolve organizational structure to align with long term initiatives, build strong \u0026quot;5 ingredient\u0026quot; teams with good comms architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage technical debt, including long term technical architecture decisions and balance product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leading and participating in technical, product, and design discussions\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building, managing, and operating a highly scalable services in the cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Growing leaders on the team by providing coaching, mentorship, and growth opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partnering with other engineering and product leaders on planning, prioritization and staffing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creating a culture of excellence on the team while leading with empathy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of industry experience building and supporting large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building, growing, and managing high-performance teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to attract and hire engineers who meet the Databricks hiring principles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Existing experience building and running cloud platforms \u0026lt;em\u0026gt;-or-\u0026lt;/em\u0026gt; demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or Masters or PhD\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8290810002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6307311002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8290810002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1490","title":"Director of Engineering (Data Infrastructure)","company_name":"Databricks","first_published":"2025-11-13T17:13:22-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;(P-1490)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn\u0026#39;t just important, it\u0026#39;s existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this leadership opportunity, \u0026lt;strong\u0026gt;you will build the data infrastructure organization\u0026lt;/strong\u0026gt; that makes Databricks\u0026#39; continued growth possible. You\u0026#39;ll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn\u0026#39;t about maintaining what exists; it\u0026#39;s about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You\u0026#39;ll define what world-class infrastructure looks like for the next decade of data platforms.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will pursue these challenges as a \u0026lt;strong\u0026gt;founding technical leader in our fastest-growing engineering hub\u0026lt;/strong\u0026gt; and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You\u0026#39;ll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The perfect candidate has built infrastructure organizations at companies where five nines weren\u0026#39;t simply aspirational, where petabyte-scale wasn\u0026#39;t marketing but Monday, and where the infrastructure team\u0026#39;s technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn\u0026#39;t just support the business; it defines what\u0026#39;s possible.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deliver the infrastructure vision for systems processing billions in daily billing transactions \u0026lt;/strong\u0026gt;with zero tolerance for error, building disaster recovery that\u0026#39;s provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Bengaluru\u0026#39;s data infrastructure organization by establishing it as the destination for India\u0026#39;s top infrastructure talent\u0026lt;/strong\u0026gt;, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you’ll need:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from \u0026quot;how should we architect multi-region disaster recovery\u0026quot; to \u0026quot;why is this Kafka cluster exhibiting this latency pattern\u0026quot; while knowing when to coach versus when to decide\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to scale infrastructure organizations in high-growth environments where you\u0026#39;ve doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks\u0026#39; technical brand externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8638631002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6450133002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8638631002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"MKTQ225R87","title":"Director, Paid Media","company_name":"Databricks","first_published":"2026-07-21T12:23:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ225R87\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Director, Paid Media \u0026lt;/strong\u0026gt;to lead our global media planning function and define how paid media supports brand awareness, demand generation, and pipeline growth across the full funnel.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will lead a team of global media planners to develop audience-first, account-focused strategies that engage both technical practitioners and executive decision-makers across priority accounts. This highly cross-functional role partners closely with Corporate Brand, Product Marketing, Integrated Campaigns, Field Marketing, Analytics, and external agencies to deliver cohesive, data-driven media strategies at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Guide the development of cross-channel media strategies that deliver measurable year-over-year increases in brand awareness, target account engagement, and pipeline contribution across integrated campaigns and priority product areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and scale a high-performing global media strategy organization by hiring and developing top talent, increasing talent density, scalability, and strategic output over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create an environment of continuous learning with clear expectations, coaching, and growth opportunities, resulting in improved team performance, stronger bench strength, and readiness to support evolving business priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and scale global media planning frameworks, processes, and best practices that improve consistency and efficiency across regions and campaigns, reducing planning cycle times and increasing adoption of standard methodologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align media investment strategy and budget allocation to business goals so that a greater share of spend is directed toward the highest-impact audiences, channels, and programs, improving return on media investment and pipeline efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure media strategies are grounded in strong audience insights and aligned to key practitioner and executive personas, increasing reach, penetration, and engagement within priority accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement consistent global measurement frameworks and executive-ready reporting in partnership with Analytics, improving visibility into media’s contribution to pipeline and revenue and enabling faster optimization cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model and reinforce Databricks’ culture principles while staying ahead of evolving media trends and best practices through a structured test-and-learn agenda, resulting in a collaborative, high-performance team and continuous improvements in overall media effectiveness.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in media strategy, digital marketing, or integrated marketing in a B2B environment within SaaS or enterprise technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience leading global media planning efforts across multiple channels and funnel stages, with demonstrated impact on pipeline, engagement, or revenue metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience hiring, developing, and managing teams of individual contributors, including early and mid-career talent, with a track record of building high-performing teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of full-funnel marketing measurement, including brand, demand, pipeline, and revenue metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to set clear objectives, prioritize effectively, and empower teams to deliver results with autonomy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong collaboration and influencing skills, with experience driving alignment across matrixed organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent analytical skills with the ability to translate complex data into clear strategic recommendations that drive business decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern media platforms, AdTech, and measurement tools.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$183,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$252,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$165,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$227,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$155,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$146,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$201,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569610002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422900002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569610002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R823","title":"Director, Sales Specialist","company_name":"Databricks","first_published":"2026-07-06T16:06:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ227R823\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8506402002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6333206002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8506402002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1507","title":"Director, Startup Sales","company_name":"Databricks","first_published":"2026-04-14T13:18:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1507\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Sales Leader to join our growing Startups segment. You will be responsible for overseeing and motivating a team of Hunting Account Executives focused on winning new logos within the VC-Backed Startup ecosystem. You will be measured by your team’s ability to break into new accounts, generate fresh pipeline, and exceed quota through new business acquisition. This is a team of high-energy, coachable sellers. We are looking for a leader who possesses a hunter’s instinct, and loves developing first-time Account Executives into elite closers and outbound experts.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive Revenue Success:\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Own and exceed your team’s monthly, quarterly and annual sales targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and Implement Strategic Plans:\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Develop and lead execution of strategic plans for team’s development and revenue attainment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Trust-Based Relationships:\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Develop long term employee, customer, partner, and cross-functional relationships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with Value: Enable your team to understand the commercial and business goals of your customer and how they relate to our value proposition.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower and Enable the Front-Line Voice of Databricks:\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Lead your team to effectively communicate the value proposition throughout the customer journey.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experienced (3+ years) high-growth Data/AI/Infrastructure leader with experience leading a sales team to new heights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience translating a highly technical product to business value for the c-suite. Experience in big data, selling against open source or freemium models is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of success executing against personal and team goals while always striving to uplevel your and your team’s skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven leadership ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to coach and develop fundamentals in your Account Executives including and not limited to prospecting, expansion, operational rigor, and personal development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal communication skills as well as experience communicating with and presenting to the C-Suite\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel as needed (\u0026amp;lt;25%) and work on the deals as needed to hit the goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree required. MBA or advanced degree is a plus but not required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4005353002,"name":"Commercial \u0026 Mid-Market Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8403550002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6348910002,"location":{"name":"Hesse, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8403550002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ327R124","title":"Director, Strategic Accounts - Logistics \u0026 Tech, m/f/d","company_name":"Databricks","first_published":"2026-02-04T08:42:49-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R124\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest business problems with Data and AI? This is what we do every day here at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a result of our phenomenal growth, we are looking for a\u0026amp;nbsp;Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of high performing Strategic Account Executives across the\u0026amp;nbsp;Logistics and Tech verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you will have\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You’ll leverage your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows — raising the bar with every hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Within your first 90 days, you’ll establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success — staying relentlessly customer-obsessed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll develop a deep understanding of Databricks’ technical platform and roadmap, enabling informed decisions that deliver durable customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A proven people leader with 5+ years of experience leading high-performing Enterprise sales teams selling into strategic / global accounts in Germany.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A talent-first leader who knows how to identify, develop, and retain top performers — building teams grounded in trust, accountability, and shared success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of usage-based, commit-based, and service-based revenue models, and how to use them together to drive sustainable growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A history of building and leveraging partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep commitment to methodology-based sales coaching, including MEDDPICC and a Challenger mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A disciplined operator with a reputation for accurate forecasting and execution excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A truth-seeker who makes decisions based on data and adapts quickly as facts change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Above all, you live our values: customer-obsessed, company-first, collaborative, and biased toward action.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel regularly to customer sites, international company meetings and customer events - regionally and internationally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in German and English is essential.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI-HS4\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8388585002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6348910002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8388585002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ327R124","title":"Director, Strategic Accounts - Logistics \u0026 Tech, m/f/d","company_name":"Databricks","first_published":"2026-02-03T13:50:44-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R124\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest business problems with Data and AI? This is what we do every day here at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a result of our phenomenal growth, we are looking for a\u0026amp;nbsp;Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of high performing Strategic Account Executives across the\u0026amp;nbsp;Logistics and Tech verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you will have\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You’ll leverage your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows — raising the bar with every hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Within your first 90 days, you’ll establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success — staying relentlessly customer-obsessed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll develop a deep understanding of Databricks’ technical platform and roadmap, enabling informed decisions that deliver durable customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’ll embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A proven, experience Sales leader with successful history of leading high-performing Enterprise sales teams selling into strategic / global accounts in Germany.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A talent-first leader who knows how to identify, develop, and retain top performers — building teams grounded in trust, accountability, and shared success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of usage-based, commit-based, and service-based revenue models, and how to use them together to drive sustainable growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A history of building and leveraging partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep commitment to methodology-based sales coaching, including MEDDPICC and a Challenger mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A disciplined operator with a reputation for accurate forecasting and execution excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A truth-seeker who makes decisions based on data and adapts quickly as facts change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Above all, you live our values: customer-obsessed, company-first, collaborative, and biased toward action.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel regularly to customer sites, international company meetings and customer events - regionally and internationally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in German and English is essential.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI-HS4\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8409447002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6357132002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8409447002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R231","title":"Director,Technical Solutions (Big Data/ AI)","company_name":"Databricks","first_published":"2026-02-07T08:56:24-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;CSQ227R231\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Director of Data \u0026amp;amp; AI Support Engineering - Bangalore will be responsible for\u0026lt;strong\u0026gt; leading and growing a regional team of Data \u0026amp;amp; AI technical experts in India\u0026lt;/strong\u0026gt;, focused on providing resiliency and smooth operation of customer production workloads.\u0026amp;nbsp; This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.\u0026amp;nbsp; This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.\u0026amp;nbsp; Reporting to the Global Lead of Frontline Support Engineering - Data \u0026amp;amp; AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the \u0026lt;strong\u0026gt;India site leader for an elite team of Data \u0026amp;amp; AI specialists\u0026lt;/strong\u0026gt; that can provide coverage of customers across EMEA \u0026amp;amp; APJ business hours.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with top customers to understand how to support their business needs with their Data \u0026amp;amp; AI strategy, in collaboration with field engineering and sales when required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with internal product engineering teams to make Databricks products better and more supportable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven people leadership experience: at least 6+ years as a manager of managers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data \u0026amp;amp; Cloud experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading large teams (100+ employees) in engineering, technical support, or consulting.\u0026amp;nbsp; Support experience is not required - but \u0026lt;strong\u0026gt;customer facing experience is highly desirable\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in at least two of the following at production scale:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Big Data (Spark, Hadoop, Kafka)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Machine Learning / Artificial Intelligence projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science / Streaming use cases\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Spark expertise is a big advantage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in customer-facing support leadership roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent troubleshooting skills across distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s/Master’s in Computer Science or equivalent technical field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076790002,"name":"Exec Engineering","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582308002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6427997002,"location":{"name":"San Francisco, California; United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8582308002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"GAQ327R263","title":"Director, Travel \u0026 Expense","company_name":"Databricks","first_published":"2026-06-08T17:29:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R263\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a strategic, operationally strong Director, Travel \u0026amp;amp; Expense to lead and modernize our global travel, expense, and corporate spend ecosystem. This leader will drive a digital-first, highly scalable program that improves the employee experience while strengthening governance, compliance, and financial discipline across a fast-growing global organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is ideal for a builder who can define future-state strategy while also leading hands-on execution, operational rigor, and measurable outcomes. The successful candidate will partner closely across Finance, Procurement, IT, HR, Security, and Operations to create a seamless and future-ready T\u0026amp;amp;E model.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the transformation of the T\u0026amp;amp;E program into a modern, automated, digital-first experience, including AI-enabled workflows, touchless expense processing, automated audit controls, and intelligent policy enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a frictionless employee experience across booking, expense submission, approvals, reimbursements, and support while simplifying processes and reducing manual work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a scalable global T\u0026amp;amp;E roadmap that balances agility, governance, employee experience, and operational efficiency, with clear KPIs, dashboards, and change management to support adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee global business travel operations across air, hotel, ground transportation, meetings, and traveler support, while shaping regional travel strategies for a distributed workforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage travel partners and supplier relationships to improve service levels, optimize spend, and support evolving business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Security and HR to strengthen traveler safety, duty of care, and crisis response capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead enterprise expense reimbursement and corporate card programs with a focus on automation, compliance, scalability, and employee experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement intelligent expense capabilities such as auto-generated reports, AI auditing, receipt automation, and policy-driven workflows, while simplifying approvals and accelerating reimbursement cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with AP, Payroll, and Finance Operations to streamline end-to-end financial processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the T\u0026amp;amp;E technology ecosystem, including platforms such as Emburse, Egencia, Ramp, Brex, AppZen, and corporate card integrations; partner with IT and Finance Systems on integrations, APIs, and analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure strong policy governance, financial controls, audit readiness, and compliance with global tax, regulatory, data privacy, and regional travel requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and lead a high-performing global team, develop leadership bench strength, and influence cross-functional stakeholders in a complex, fast-moving environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Finance, Business, Supply Chain, Hospitality, Information Systems, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of progressive leadership experience in Travel, Expense, Procurement, Finance Operations, Shared Services, or related functions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success leading T\u0026amp;amp;E transformation, automation, or digital modernization initiatives in high-growth or fast-paced organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading global or multinational T\u0026amp;amp;E programs and managing regional operations and cross-border transformation efforts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong operational leadership with the ability to translate strategy into scalable execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in T\u0026amp;amp;E platforms, workflow automation, corporate card programs, and expense technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of AI-enabled operations, process redesign, and scalable service delivery models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional stakeholder management, communication, and change leadership skills, with the ability to lead through ambiguity and evolving business priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading global or multinational T\u0026amp;amp;E programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MBA, CPA, CTP, or related certification preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lean Six Sigma, automation, or digital transformation experience strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$209,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$288,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$188,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$259,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$178,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$244,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$167,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$230,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8614926002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440682002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8614926002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R620","title":"Director, Ventures Partner Portfolio","company_name":"Databricks","first_published":"2026-07-01T20:52:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R620\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Consulting \u0026amp;amp; Systems Integrator (C\u0026amp;amp;SI) organization accelerates Databricks\u0026#39; growth by building and managing strategic relationships with the world\u0026#39;s leading data, AI, and technology services companies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Ventures Partner Portfolio Lead, you will drive value, scale, and strategic go-to-market motions across Databricks\u0026#39; portfolio of newly invested partner organizations. You will oversee a model designed to deeply support and scale our highest-performing investment partners post-investment. You will define and execute a cohesive portfolio strategy for fifteen partners.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will focus on ensuring partners fulfill their obligations, accelerating joint product certifications, driving partner-sourced pipeline, and establishing repeatable joint business plans. You will work cross-functionally with Sales, Product, Engineering, and Marketing to surface scaling signals from the field, eliminate operational blockers, and maximize the long-term enterprise value of Databricks’ venture investments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports to the Vice President of System Integrator Partners.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own Joint Business Plan Execution:\u0026lt;/strong\u0026gt; Oversee the rigorous execution of joint business plans, measuring quarterly progress against named target accounts, consumption milestones, and marketing KPIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Accelerate Revenue \u0026amp;amp; Pipeline:\u0026lt;/strong\u0026gt; Drive partner-led growth by actively accelerating the partner-sourced pipeline and unlocking new market opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Enablement \u0026amp;amp; Certification:\u0026lt;/strong\u0026gt; Establish and enforce product-specific certification targets to deepen the partner\u0026#39;s technical capabilities and practice size.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enforce Governance \u0026amp;amp; Obligations:\u0026lt;/strong\u0026gt; Ensure that newly invested portfolio partners are fully executing and fulfilling their contractual and strategic investment obligations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unblock Field Execution:\u0026lt;/strong\u0026gt; Act as the primary escalation point to resolve partner blockers by collaborating directly with cross-functional leadership across Product, Engineering, and Sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Surface Predictive Scaling Signals:\u0026lt;/strong\u0026gt; Capture and synthesize feedback from the field (e.g., new product traction, geographic expansions, executive talent moves) to feed back into quarterly portfolio scoring refreshes, ensuring the program remains predictive and agile.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Identify Next Generation of Partners:\u0026lt;/strong\u0026gt; Proactively evaluate the ecosystem and identify the next generation of partners primed for strategic investment and hyper-scale growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;10+ years of experience\u0026lt;/strong\u0026gt; building, managing, and scaling strategic partnerships, ideally within venture-backed ecosystems, high-growth alliances, or strategic investment portfolios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demonstrated track record\u0026lt;/strong\u0026gt; of managing a portfolio of strategic partners and delivering measurable business growth, pipeline acceleration, and consumption outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deep understanding of alliance organizations\u0026lt;/strong\u0026gt;, including partner lifecycle management, corporate governance, joint business planning, and cross-functional GTM execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven experience collaborating cross-functionally\u0026lt;/strong\u0026gt; with Product, Engineering, Marketing, and Field Sales teams to unblock complex partner technical or commercial hurdles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deep domain expertise\u0026lt;/strong\u0026gt; in enterprise Data, Analytics, AI, and cloud technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong operational rigor\u0026lt;/strong\u0026gt; with experience tracking quarterly performance metrics, compliance obligations, and utilizing field data to update predictive scoring models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Exceptional executive presence\u0026lt;/strong\u0026gt; with the ability to influence C-level stakeholders, manage partner obligations diplomatically, and align cross-functional teams around shared business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong strategic planning, operational execution, and people leadership skills\u0026lt;/strong\u0026gt; with a demonstrated ability to build, coach, and scale a high-performing partner management team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$143,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$197,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$143,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$197,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$143,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$197,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$143,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$197,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001012002,"name":"Business Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8495059002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6393253002,"location":{"name":"EMEA; Germany; London, United Kingdom; Paris, France; Remote - Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8495059002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ427R219","title":"EMEA Energy Industry Go-To-Market (GTM) Leader","company_name":"Databricks","first_published":"2026-04-28T12:29:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Req ID:\u0026lt;/strong\u0026gt; FEQ427R219\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Energy industry go-to-market (GTM) motion across the Europe, Middle East, and Africa (EMEA) region. As a key member of our global industry GTM team, you will shape and drive how Databricks engages the energy sector in one of the world\u0026#39;s most dynamic markets. Reporting to the Global GTM Head for Manufacturing, Transportation, and Energy, you will collaborate deeply on a day-to-day basis with EMEA sales, field engineering, and GTM leadership.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will operate at the intersection of industry expertise, customer engagement, and commercial strategy, helping Databricks win in a market where data and AI are redefining how energy systems are built and optimized to support future economic growth. If you bring deep industry domain knowledge, the ability to set the vision for AI at the world’s largest energy companies, and a proven track record of harnessing the transformative potential of data and AI to drive real business value, we want to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Vision \u0026amp;amp; Executive Engagement:\u0026lt;/strong\u0026gt; Lead AI vision-setting engagements with top energy accounts, advising CEOs and executive teams on strategic adoption and impact. Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the EMEA region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;GTM Strategy \u0026amp;amp; Pipeline Growth:\u0026lt;/strong\u0026gt; Lead the strategic and operational execution of GTM initiatives across the energy sector in EMEA, including oil and gas, power and utilities, renewables, and mining. Drive pipeline growth and accelerate customer adoption. Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Alignment:\u0026lt;/strong\u0026gt; Build strong alignment with EMEA sales, field engineering, marketing, partnerships, and product teams. Develop and execute industry-specific GTM programs that convert market opportunity into revenue.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Thought Leadership \u0026amp;amp; Market Analysis:\u0026lt;/strong\u0026gt; Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry. Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel regularly to support customer meetings, executive engagements, and industry events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Bachelor\u0026#39;s degree in Business, Engineering, or a related field. An MBA or equivalent post-graduate qualification is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Industry Leadership:\u0026lt;/strong\u0026gt; 10+ years of leadership experience in the energy sector. This must include at least 5 years in a GTM, strategy, or business development role within strategic consulting (ex-MBB preferred) and product-led technology companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial Success:\u0026lt;/strong\u0026gt; Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Expertise:\u0026lt;/strong\u0026gt; Expert-level domain knowledge in one or more of the following areas: subsurface intelligence, industrial AI, energy and commodity trading, and grid resilience. Familiarity with key energy industry standards bodies and frameworks across the EMEA region. Strong understanding of the modern data and AI technology landscape and how it applies to every aspect of the energy sector.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Soft Skills \u0026amp;amp; Collaboration:\u0026lt;/strong\u0026gt; Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization. A track record of building trusted relationships with senior executives in a multilingual, multicultural market like EMEA. Exceptional communication skills—both written and verbal—with the ability to translate technical and data concepts into compelling business narratives for executive audiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4019773002,"name":"Go To Market ","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8194916002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6247958002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8194916002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"SLSQ127R32","title":"Emerging Enterprise Account Executive","company_name":"Databricks","first_published":"2025-10-02T05:00:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ127R32\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we empower organizations to make better decisions with data and AI. As an Emerging Account Executive, you\u0026#39;ll partner with some of Japan\u0026#39;s most innovative and fast-growing companies - helping them unlock the full potential of their data to scale faster and smarter. You will own an Emerging territory, a portfolio of high‑potential, under‑penetrated accounts (often SMBs and Mid-market) that are not yet covered by a dedicated account owner.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are a strategic, growth-minded sales professional who thrives in dynamic environments. You understand how to engage with senior stakeholders, navigate complex organizations, and drive meaningful outcomes. You\u0026#39;re comfortable managing both short-term opportunities and multi-threaded, strategic initiatives that expand our footprint and customer impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to Sr Manager, Sales in Japan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute a territory plan targeting Japan’s emerging market segment - growth-stage organizations with significant data and AI ambitions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively manage a mix of rapid, transactional deals and complex, strategic engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistently meet and exceed activity, pipeline, and revenue goals through active prospecting and account development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain high standards of operational excellence in Salesforce and Clari, including accurate forecasting, opportunity tracking (MEDDPICC), and detailed account notes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with a customer-first mindset and focus on delivering measurable business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of closing experience in SaaS, Cloud, Big Data or AI sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success exceeding sales KPIs and quotas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to acquire new customers and expand existing relationships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;(Nice to have) Experience collaborating with partners or engaging in co-selling or partner-led motions within the technology ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to quickly learn new technical concepts and confidently communicate value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in Japanese and business-level English is required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438946002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371007002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8438946002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ127R133","title":"Emerging Enterprise Core Account Executive","company_name":"Databricks","first_published":"2026-06-11T03:25:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ127R133\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Do you want to help solve the world\u0026#39;s toughest problems with data and AI? At Databricks, we do this every day.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Senior Manager for Digital Native Business (DNB), as an Emerging Enterprise Account Executive at Databricks, you come with relevant experience selling to Commercial/Mid-Market accounts.\u0026amp;nbsp; As a successful candidate, you are a self-starter who understands the sales process. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to close new business and grow existing accounts in ASEAN market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your accounts and develop a strategy to identify and engage all buying centers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for new logo accounts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and work with teams to maximise the impact on your ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build value with all engagements to promote successful negotiations to close point\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of Startup/ Emerging Enterprise Sales experience exceeding quotas, covering Singapore/ SEA accounts or territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in working in a consumption-based sales motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong closing experience and evidence of exceeding sales quota\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to navigate and be successful in a fast-growing organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales experience within Cloud software, open source technology, or ideally Data and AI space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams in the GCR market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Methods for co-developing business cases and gaining support from C-level Executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree or equivalent experience preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in Bahasa Indonesia and experience managing Indonesia/ Malaysia accounts preferred\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8501186002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6395784002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8501186002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"CSQ427R98","title":"Engagement Manager","company_name":"Databricks","first_published":"2026-04-17T05:11:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req: CSQ427R98\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Engagement Manager assures customer success by driving customer satisfaction throughout the customer success \u0026amp;amp; services life-cycle for our customers, from orchestrating the engagement to successful delivery and beyond.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Field Engineering, Support and Product Teams on campaigns, programs, and content. You will report to the Director, Professional Services.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the sales counterpart and engage early in the sales process to seek to understand our customers\u0026#39; needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities for new services by understanding and addressing potential new use cases and the ability to articulate the business value in the upsell, or extension of services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits. Responsible for estimating, scoping and developing the statement of work documents as necessary\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong fundamental knowledge around end-to-end data systems Implementation from both the technology, operations, and security/governance lenses. Production-level implementation experience as an engineer or as a project manager is preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in the following\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Selling services offerings at either implementation, advisory, education, and change management capacity.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution to both business and technology audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistent track record of identifying customer needs and successfully implementing solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strong problem solving skill about customer’s pain points by using modern technologies, particularly AI agents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellence in presentation skills, providing proposals that enforce good project governance and drive scalable delivery practices to both internal and external executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-level orchestration skills to align both internal and external stakeholders when proposing large initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor is highly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science or related educational background\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Excellent verbal and written communication skills in Japanese\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Excellent written communication skills in English\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056345002,"name":"Remote - Japan","location":"Remote - Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5313313002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4890774002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5313313002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-138","title":"Engineering Manager - Backend","company_name":"Databricks","first_published":"2021-07-12T10:09:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-138\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools to allow Databricks engineers to operate their services across different clouds and environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build services, products and infrastructure at the intersection of machine learning and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire great engineers to build an outstanding team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support engineers in their career development by providing clear feedback and develop engineering leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engineering and product leadership to build a long-term roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate execution and collaborate across teams to unblock cross-cutting projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with PM, Sales, and Customers to develop innovative features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of Engineering experience and 2 years of Engineering Management experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7439442002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5673558002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7439442002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-995","title":"Engineering Manager - Backend","company_name":"Databricks","first_published":"2024-05-07T03:11:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;small\u0026gt;P-995\u0026lt;/small\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the \u0026lt;strong\u0026gt;first Engineering Managers\u0026lt;/strong\u0026gt; in the Software Engineering team at \u0026lt;strong\u0026gt;Databricks India\u0026lt;/strong\u0026gt;, you will work with your team to \u0026lt;strong\u0026gt;build infrastructure and products for the Databricks platform at scale\u0026lt;/strong\u0026gt;. We have multiple teams working on different domains.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools to allow Databricks engineers to operate their services across different clouds and environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build services, products and infrastructure at the intersection of machine learning and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire great engineers to build an outstanding team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure \u0026lt;strong\u0026gt;high technical standards\u0026lt;/strong\u0026gt; by instituting processes (architecture reviews, testing) and culture (engineering excellence).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engineering and product leadership to build a long-term roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate execution and collaborate across teams to unblock cross-cutting projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;10+ years\u0026lt;/strong\u0026gt; of extensive \u0026lt;strong\u0026gt;experience with large-scale distributed systems\u0026lt;/strong\u0026gt; alongside the processes around testing, monitoring, SLAs etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience as a \u0026lt;strong\u0026gt;Software Engineering Leader\u0026lt;/strong\u0026gt; , \u0026lt;strong\u0026gt;building \u0026amp;amp; scaling software engineering teams\u0026lt;/strong\u0026gt; from ground up\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience \u0026lt;strong\u0026gt;managing a team of strong software engineers\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with PM, Sales, and Customers to develop innovative features \u0026amp;amp; products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6736119002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5547708002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6736119002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-931","title":"Engineering Manager - Compute Infra","company_name":"Databricks","first_published":"2023-05-04T16:48:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-931\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity, customer experience, and the company’s ability to scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and evolve the compute platform to \u0026lt;strong\u0026gt;support all Databricks workloads\u0026lt;/strong\u0026gt;, enabling engineers to build world-class products with high velocity and best-in-class performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hire \u0026lt;strong\u0026gt;exceptional engineers\u0026lt;/strong\u0026gt; and invest in their growth through coaching, feedback, and career development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the technical and operational bar through strong design practices, testing, and a culture of \u0026lt;strong\u0026gt;engineering excellence and platform mindset\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering and product leadership to define long-term strategy and roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-team initiatives that span product and infrastructure surface areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence architectural decisions beyond your immediate team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;10+ years \u0026lt;/strong\u0026gt;of experience building and operating\u0026lt;strong\u0026gt; large-scale distributed systems\u0026lt;/strong\u0026gt;, including strong practices around testing, monitoring, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; of \u0026lt;strong\u0026gt;engineering management experience\u0026lt;/strong\u0026gt; leading high-performing teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to collaborate across engineering, product, and business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience scaling teams and systems through rapid growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, or PhD in Computer Science or related field, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7006090002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5673558002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7006090002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-995","title":"Engineering Manager - Core Experiences ","company_name":"Databricks","first_published":"2023-12-16T10:42:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;small\u0026gt;P-995\u0026lt;/small\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks\u0026#39; growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud.\u0026amp;nbsp;You will report directly to the Sr. Manager of Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will hire great engineers to build an outstanding team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will support engineers in their career development by providing clear feedback, as well developing engineering leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work with engineering and product leadership to build a long-term roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will coordinate execution and collaborate with multiple product teams with feature requests from the platform\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Great at hiring and developing talent, especially leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at creating efficient processes that increase velocity and quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in managing teams that build and operate high-volume distributed systems in a SaaS environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with distributed systems and building platforms and services which serve multiple product teams and customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience in scaling engineering teams from 5 to 20+\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Team player that will work with other departments (PM, CS) and engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS or higher in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8472398002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6383847002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8472398002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"RDQ326R233","title":"Engineering Manager - Databricks SQL Control Plane","company_name":"Databricks","first_published":"2026-03-20T16:25:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ326R233\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks SQL (DBSQL) is a serverless data warehouse on the Databricks Lakehouse Platform that lets you run all your SQL and BI applications at scale. The Databricks SQL Control Plane team builds scalable solutions for managing the multi-tenanted DB SQL service. This team creates and maintains services that allow customers to create a data warehouse, scale it within seconds, and run mission critical workloads at scale. \u0026lt;strong\u0026gt;The team is seeking an Engineering Manager to spearhead the development of a new service and architecture for the next generation of our product.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The key responsibilities include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Leading a team of talented software engineers to build the next-generation low-latency, multi-tenanted, cloud native data warehousing system\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Growing the team by hiring strong engineering talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leading and participating in technical, product and design discussions relating to cloud native database systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing and operating a highly available service in the cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Growing leaders on the team by providing coaching, mentorship and growth opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Playing a key role in defining the product and engineering roadmap for the team\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partnering with other engineering and product leaders on planning, prioritization and staffing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creating a culture of excellence on the team while leading with empathy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience working in, database systems, data processing or related domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building highly available cloud services on AWS, GCP or Azure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building, growing and managing high performance teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining and meeting SLOs for highly available systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to attract and hire engineers who meet the Databricks hiring standards.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working cross functionality with product management and partners to build products that drive user growth\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Preferred\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working Rust\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8578093002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5955502002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8578093002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1334","title":"Engineering Manager - Data Visualization Platform","company_name":"Databricks","first_published":"2026-06-03T20:10:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI products so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are the Data Visualization team, a core part of the AI/BI organization. Our mission is to enable everyone in an organization to make intelligent business decisions informed by the best data available. We empower business teams via self-service analytics, helping them author high-quality visualizations and dashboards using our AI-first authoring experience. We own the visualization library, the dashboarding canvas, and the agentic authoring workflows that bridge the gap between complex data and actionable insights.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a dedicated Engineering Leader for our Data Visualization team in Bellevue. This team is responsible for the entire life cycle of visual insights: from the underlying visualization framework (using technologies like React and Vega-Lite) to building advanced features like field variables, drill-downs, and AI-driven chart generation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report directly to the Senior Manager of Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead a Talented Team:\u0026lt;/strong\u0026gt; You will lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Talent Development:\u0026lt;/strong\u0026gt; You will oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Execution:\u0026lt;/strong\u0026gt; You will build processes to implement the AI/BI product vision, focusing on \u0026quot;BI Takeout\u0026quot; initiatives to replace legacy tools with superior Databricks-native experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence:\u0026lt;/strong\u0026gt; You will ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Stewardship:\u0026lt;/strong\u0026gt; You will manage technical debt (e.g., framework migrations, performance optimizations) while balancing an ambitious roadmap that includes agentic authoring and semantic model integration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Frontend Expertise:\u0026lt;/strong\u0026gt; 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications and modern state management (e.g., MobX).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Management Experience:\u0026lt;/strong\u0026gt; 2+ years leading and managing high-performing engineering teams, ideally in a fast-paced product environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Visualization Passion:\u0026lt;/strong\u0026gt; A deep interest in data visualization, charting libraries (e.g., D3.js, Vega-Lite), or UX for complex data tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Efficiency Driver:\u0026lt;/strong\u0026gt; Proven ability to drive technical initiatives that improve team productivity, such as optimizing CI/CD runtimes or streamlining visualization frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Talent Magnet:\u0026lt;/strong\u0026gt; A strong track record of attracting, hiring, and retaining top engineering talent, including the ability to mentor engineers at various levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborative Leader:\u0026lt;/strong\u0026gt; Experience working with cross-functional stakeholders including Product Management, Design, and AI Research teams to deliver agentic product experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Adaptability:\u0026lt;/strong\u0026gt; Resilience in a rapidly evolving tech environment, with the ability to pivot priorities based on customer feedback and emerging AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4033876002,"name":"Washington","location":"Washington","child_ids":[4049331002,4000547002,4056367002],"parent_id":4056355002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8643979002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452078002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8643979002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"RDQ427R519","title":"Engineering Manager, Foundation Model Inference (FMAPI)","company_name":"Databricks","first_published":"2026-07-21T21:19:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Engineering Manager, Foundation Model Inference (FMAPI)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;RDQ427R519\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are driven by a passion to empower data teams in tackling the world\u0026#39;s most challenging problems — from revolutionizing transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to leverage deep data insights for transformative business improvements. If you are passionate about advancing data and AI technologies and are eager to lead a cutting-edge product to success, we invite you to join our dynamic team at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our \u0026lt;a href=\u0026quot;https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/\u0026quot;\u0026gt;Foundation Model APIs \u0026lt;/a\u0026gt;provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for an Engineering leader to lead part of our Foundation Model Inference organization. We are seeking a leader who can build strong teams, uphold a high technical bar, and drive execution on large multi-quarter initiatives in a fast-moving AI infrastructure environment.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow a team of talented, product-minded infrastructure Engineers working on Databricks Foundation Model Inference and Foundation Model API; The teams owns the systems powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help shape the roadmap for products spanning real-time inference, provisioned throughput, and batch inference use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product and engineering leadership to deliver the right capabilities with strong reliability, quality, and service health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build an inclusive, high-performing team that attracts, develops, and retains exceptional engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a deep understanding of your team’s technical area and uphold a strong bar for architecture, implementation quality, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing and growing high-performing software engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large-scale backend services, with the ability to maintain quality even in areas you have not worked on personally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of delivering complex, multi-quarter engineering initiatives with high quality and predictable execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience partnering effectively with product management and peer engineering teams to translate customer and business needs into roadmaps and shipped outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational rigor, including experience with service health, incident response, postmortems, and continuous improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and hiring skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or related field.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8298018002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5720840002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8298018002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1107","title":"Engineering Manager - Identity and Access Management (IAM)","company_name":"Databricks","first_published":"2025-11-18T18:05:46-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1107\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Customers trust Databricks with their most valuable data, and Trust \u0026amp;amp; Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and drive the strategy for IAM systems, including authentication and access control.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building large-scale distributed systems with high availability and security requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success driving cross-functional security initiatives and influencing leaders without direct authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, or PhD in Computer Science or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603361002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433983002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8603361002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"RDQ427R100","title":"Engineering Manager, Serverless Compute Platform","company_name":"Databricks","first_published":"2026-06-22T16:37:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;RDQ427R100\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best AI and data infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Serverless Compute Platform is the backbone of Databricks\u0026#39; fastest-growing products.\u0026amp;nbsp; It is powering massive growth in our existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute).\u0026amp;nbsp; Behind this hockey stick growth is a set of highly scalable, efficient, and \u0026lt;em\u0026gt;intelligent \u0026lt;/em\u0026gt;services managing tens of millions of virtual machines daily across AWS, Azure, and GCP.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Engineering Manager for the Execution Sandbox team, you will own the end-to-end delivery of this new service and the engineers building it.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will inherit a team of strong senior ICs who have already delivered an initial preview. Your job is to build out the full vision, guide evolution, and scale the team.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own a 0→1 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale. This greenfield provisioning layer will power all non-Spark compute workloads on Serverless (Notebooks, AI Agents, Remote UDFs).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Unify a fragmented compute surface. Converge disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and enabling consistent product experiences.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across 5+ partner organizations. Drive alignment on API contracts and shared milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape product strategy through deep technical understanding. Partner with Product Management to leverage this new sandbox primitive for future offerings like serverless command execution APIs and FaaS-style workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS or higher in Computer Science or a related field. Equivalent practical experience is equally valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical fluency in infrastructure systems. Ability to deeply review architecture docs, challenge design tradeoffs (e.g., state machine design, API boundaries), and coach senior ICs.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias toward operational rigor. Deep commitment to observability, SLOs, pre-mortems, and healthy on-call cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and scale a high-caliber team.\u0026amp;nbsp; Manage and elevate a team of strong L3-L5 engineers, establishing clear ownership boundaries and architectural doctrine. You will also hire 2-3 additional engineers to support this expanded scope.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4049331002,"name":"Bellevue, Washington","location":"Bellevue, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8324875002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5720867002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8324875002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1110","title":"Engineering Manager - Streaming","company_name":"Databricks","first_published":"2025-12-04T19:24:51-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;P-1110\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;We are the “Spark™ Structured Streaming” team responsible for building Stream Processing capabilities into Spark™ and Databricks Intelligence Platform. Stream processing is in its infancy and we are here to build not just state of the art Stream Processing technology but best in class managed offering for customers to run their Stream Processing workloads.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;We\u0026#39;re seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development initiatives, encompassing both open source and Databricks-specific components. Your primary mission will be to make Spark™ Structured Streaming state of the art Stream Processing engine, by adding advanced features such as sophisticated state management, new operators and at the same time making the engine performance both from latency and throughput point of view by reimagining engine architecture.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The key responsibilities include:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Leading a talented engineering team in Spark™ Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Build software that is not just high quality but easy to operate. \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Manage technical debt, including long term technical architecture decisions and balance product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;5+ years experience working in a related system, streaming, query processing, query optimization, including big-data ecosystem, Apache Spark™ or database internal\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product. Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of the team and guide their careers. Experience managing distributed teams preferred\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Comfortable working cross functionally with product management and directly with customers; ability to deeply understand product and customer personas\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8013809002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6169977002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8013809002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1413","title":"Engineering Manager - UI Platform","company_name":"Databricks","first_published":"2025-05-27T19:36:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1413\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are the UI Platform team, responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week, making sure that they can use AI tooling to build features, can quickly ship them to production, and have best-in class monitoring and observability of what they build.. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node and more!\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking a dedicated Engineering Leader for our Developer Experience team. This team is responsible for the entire life cycle of a feature: dev loop, submitting, pushing, monitoring… everything needed to ensure smooth delivery of code from the developer’s head to production!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report directly to the Senior Manager of Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The main responsibilities include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will lead a talented engineering team in UI Platform focused on making our frontend developer experience amazing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will oversee sustained recruitment of top-tier talent, and developing talent on the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build processes to implement product vision and strategy, according to organizational goals and priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build software that is not just high quality, but easy to operate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years leading and managing a high-performing engineering team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for infrastructure, tooling, developer productivity, or performance optimization and the ability to drive technical initiatives that improve overall team efficiency and code quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to mentor, coach, and develop engineering talent at various levels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to drive technical initiatives that improve overall team efficiency and code quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in setting and achieving ambitious team goals aligned with company objectives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of attracting, hiring, and retaining top engineering talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing distributed teams across multiple locations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adaptability and resilience in a fast-paced, rapidly evolving tech environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4049331002,"name":"Bellevue, Washington","location":"Bellevue, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8589349002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6430635002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8589349002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ427R332","title":"Enterprise Account Executive, Benelux","company_name":"Databricks","first_published":"2026-06-15T08:09:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R332\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Want to help solve the world\u0026#39;s toughest problems with data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today\u0026#39;s ultra-competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise\u0026amp;nbsp;Account Executive at Databricks, you come with relevant experience selling to Enterprise accounts. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team\u0026#39;s growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Sales Director for Enterprise Sales Benelux.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your territory and develop a successful execution strategy\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive quarter-on-quarter consumption growth in existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity and quarterly revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify new use case opportunities and showcase value to existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote the value of the Databricks\u0026#39; Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Good understanding of the data platform and cloud ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Some exposure to the software industry and understanding of selling SaaS, Data and Business Value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience growing consumption and closing commit deals in a direct sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competent with prospecting research and ability to map out key stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced understanding of MEDDPICC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience exceeding sales targets/quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree or relevant work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in English is required, fluency in Dutch is preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8579388002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6426789002,"location":{"name":"Remote - Washington D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8579388002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R413","title":"Enterprise Account Executive, Federal Financials","company_name":"Databricks","first_published":"2026-06-05T08:44:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;SLSQ327R413\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive, Federal Financials, at Databricks, you will be responsible for driving sales of Databricks within a dedicated set of consuming accounts in the Public Sector segment. As an experienced Account Executive, you know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Public Sector clients. Always looking for new opportunities, you will be expected to net new accounts and expand current footprints. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage complex sales-cycles and present to C-level executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close net new logos and expand existing accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks; enterprise cloud data platform powered by Apache Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early-stage company, and you know how to navigate and be successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of field sales experience, Federal Financials experience is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in big data, Cloud, or SaaS sales is preferable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of success delivering business value to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$245,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$337,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054181002,"name":"Public Sector Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8482144002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6388067002,"location":{"name":"Montréal, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8482144002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ227R615","title":"Enterprise Account Executive - Financial Services","company_name":"Databricks","first_published":"2026-03-30T01:47:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R615\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive - Financial Services at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. Having experience working with Financial Services accounts is preferred. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to drive consumption. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;FINS Experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;French Speaking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029646002,"name":"Montréal, Canada","location":"Montréal, Canada","child_ids":[],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8610933002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439142002,"location":{"name":"Boston, Massachusetts; New Jersey; New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8610933002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R603","title":"Enterprise Account Executive - Financial Services","company_name":"Databricks","first_published":"2026-06-29T11:21:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R603\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive at Databricks, you are a strategic sales professional with experience selling to Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise with financial services institutions preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8610931002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439141002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8610931002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R592","title":"Enterprise Account Executive - Financial Services","company_name":"Databricks","first_published":"2026-06-29T11:25:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R592\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive at Databricks, you are a strategic sales professional with experience selling to Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise with financial services institutions preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056380002,"name":"Remote - North Carolina","location":"Remote - North Carolina","child_ids":[],"parent_id":4033542002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8440900002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371778002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8440900002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R13","title":"Enterprise Account Executive - FSI","company_name":"Databricks","first_published":"2026-04-07T02:29:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ227R13\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the FSI vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director, FSI Sales, Japan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will secure new logos with strategic accounts in the FSI vertical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create a focused and targeted logo acquisition strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build value in all engagements to guide successful negotiations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will plan, document, and drive the growth of Databricks usage for your customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop a deep and detailed understanding of the customer\u0026#39;s business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership to the customer, important staff, and technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience selling multi-million dollar complex software deals to the region\u0026#39;s most recognizable organizations within the Enterprise segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Selling experience to the Enterprise FSI customers in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build customer champions and collaborative teams to support the implementation of the expansion plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to develop a clear partner strategy and manage it to success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8390460002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6349684002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8390460002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ227R241","title":"Enterprise Account Executive - Hunter (New Logo)","company_name":"Databricks","first_published":"2026-03-25T03:36:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ227R241\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive - Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts in diverse sectors. You are a proactive \u0026quot;hunter\u0026quot; who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Director, Sales in Japan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Secure new Enterprise accounts across multiple industries, creating a strong foundation for long-term partnerships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick wins while managing longer, complex sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a deep and detailed understanding of the customer\u0026#39;s business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership to the customer, important staff, and technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience selling multi-million dollar complex software deals to the region\u0026#39;s recognizable organizations within the Enterprise segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build customer champions and collaborative teams to support the implementation of the expansion plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to develop a clear partner strategy and manage it successfully.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Enterprise Account Executive - Hunterとして、あなたは主なミッションは複数の業界に属する顧客において新しいビジネスチャンスを特定し、獲得し、成長させることです。このロールは新規顧客を獲得し、エンタープライズ顧客におけるターゲットの売上拡大を促進することに重点を置いています。 あなたは、お客様とのリレーションを構築し、複雑な販売サイクルの中で大規模な取引を成立させることに成功する、積極的な「ハンター」です。部門横断のチームと緊密に連携し、お客様のニーズに対応したソリューションを提供し、長期的なパートナーシップを確立していただきます。日本の Sales Director 配下となります。\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;期待されるインパクト：\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;複数の業界にわたる顧客を獲得し、長期的なパートナーシップのための強力な基盤を構築する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;未開拓の市場で潜在力の高い顧客を特定し、獲得するための焦点を絞った戦略を開発および実行する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;複雑かつ長期の販売サイクルをコントロールし、早期の案件を発掘し獲得する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;新規に獲得した顧客におけるビジネス効果を最大化するため、Databricksの利用拡大を計画、推進する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;エンジニアリング、プラットフォーム、アーキテクチャ、データ サイエンスの役割を含む重要な経営幹部レベルの関係を確立し、業界のアドボケイトとなる。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ソリューションアプローチにより販売し、顧客価値を創出する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客のビジネスを深く詳細に理解する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客、組織、技術チームに対してリーダーシップを発揮する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;顧客の組織内でのDatabricksのインパクトを高めるために、案件における全ての重要なデータのユースケースと利用部門を特定する。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricksチームとエコシステムパートナーを連携し、ビジネスへのインパクトを最大化する。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;求める人材:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;エンタープライズの著名な組織に数億円規模の複雑なソフトウェア取引を販売した 5 年以上の経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;優先セグメント、購入プロセス、購入サイクル、意思決定プロセス、エコシステムに関する知識。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;従量制の PaaS/SaaS ソリューション、またはその他のデータ/AI/ML テクノロジーを販売した経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;営業メソッドおよびプロセスにおける 5 年以上の経験。\u0026lt;br\u0026gt;例）アカウントプランニング、MEDDPICC、バリューセリング、Command of the Message。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;未開拓市場のハンター営業およびさらなる利用拡大のための既存顧客へのコンサルティングにおける 5 年以上の経験。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;拡大計画の実行をサポートする顧客のチャンピオンと協同チームの発掘。\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;明確なパートナー戦略の策定とそれを成功に導く方法に関する理解。\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8349357002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6334270002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8349357002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"SLSQ227R16","title":"Enterprise Account Executive - Manufacturing ","company_name":"Databricks","first_published":"2025-12-25T18:15:54-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;SLSQ227R16\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the Manufacturing vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Senior Director, Manu/Auto/HLS Sales, Japan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will secure new logos with strategic accounts in the Manufacturing vertical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create a focused and targeted logo acquisition strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build value in all engagements to guide successful negotiations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will plan, document, and drive the growth of Databricks usage for your customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop a deep and detailed understanding of the customer\u0026#39;s business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership to the customer, important staff, and technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience selling multi-million dollar complex software deals to the region\u0026#39;s most recognizable organizations within the Enterprise segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Selling experience to the Enterprise Manufacturing customers in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build customer champions and collaborative teams to support the implementation of the expansion plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to develop a clear partner strategy and manage it to success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7841080002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6092367002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":7841080002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"SLSQ126R461","title":"Enterprise Account Executive - Media","company_name":"Databricks","first_published":"2026-02-20T02:50:00-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ126R461\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within the Media vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Sales Director\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will secure new logos with strategic accounts in the Media vertical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create a focused and targeted logo acquisition strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build value in all engagements to guide successful negotiations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will plan, document, and drive the growth of Databricks usage for your customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop a deep and detailed understanding of the customer\u0026#39;s business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership to the customer, important staff, and technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience selling multi-million dollar complex software deals to the region\u0026#39;s most recognizable organizations within the Enterprise segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Selling experience to the Enterprise Media customers in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build customer champions and collaborative teams to support the implementation of the expansion plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to develop a clear partner strategy and manage it to success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8440922002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371788002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8440922002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ127R139","title":"Enterprise Account Executive - Public Sector","company_name":"Databricks","first_published":"2026-04-26T22:55:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ127R139\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Public Sector Account Executive – Japan, you will own strategic sales into Japan’s government and broader public sector, driving adoption of our data and AI platform across central ministries, local governments, and public institutions.\u0026amp;nbsp;You will lead the full sales cycle, build executive relationships, and collaborate closely with internal and partner teams to support Japan’s digital government and modernization initiatives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and exceed revenue targets by winning new public sector customers across Japan, including central ministries, local governments, government agencies, and public institutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute a clear territory and account strategy to identify, prioritize, and win high‑potential public sector accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan, document, and drive the expansion of Databricks usage in newly landed accounts, turning initial projects into broad, high‑impact data and AI platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify new AI and data use cases in government operations and feed these insights into Japan’s public sector go‑to‑market, influencing product direction and regional strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution‑oriented, value‑based sales approach that links Databricks to measurable outcomes for public services and citizens.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate Databricks’ internal teams and our ecosystem of partners (SI, cloud, and consulting partners) to run effective sales motions and deliver successful customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of SaaS, cloud, AI, or big data sales experience in Japan, with meaningful exposure to public sector accounts and a proven ability to drive adoption of new technologies through a consultative, solutions‑oriented sales approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to navigate complex public sector stakeholder ecosystems, building consensus across multiple departments, budget owners, and decision/approval layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of public sector priorities in Japan, including typical buying processes, buying cycles, decision‑making structures, and the broader ecosystem of partners that support government projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience with Japanese government procurement, including familiarity with budget formulation and execution, tender/RFP processes, evaluation criteria, and relevant compliance and security frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in selling usage‑based PaaS/SaaS or data, AI, and ML solutions is highly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid experience applying structured sales methodologies and processes (e.g., account planning, MEDDPICC, value selling, Command of the Message) to win complex, multi‑stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of creating strong customer champions and leading collaborative internal and external teams to support implementation and expansion within strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear understanding of how to build a focused partner strategy for the public sector and manage SI, cloud, and consulting partners to jointly win and deliver large, impactful projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8556252002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6417625002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8556252002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"SLSQ427R100","title":"Enterprise Account Executive - Qatar","company_name":"Databricks","first_published":"2026-05-21T06:06:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R100\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; London (potential relocation to Dubai in 2027)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Middle East and Africa sales leadership team, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-led approach to create meaningful value for new logo accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own a defined list of prospects and build strategies targeting all critical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build strong value throughout the sales process to guide successful negotiation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate cross-functional teams to maximise impact across your ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the consumption narrative, using demand plans to surface high-value use cases in each account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience navigating procurement frameworks and mechanisms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in Cloud software, open source technology, or the Data and AI space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Methods for co-developing business cases and securing C-level sponsorship\u0026lt;br\u0026gt;Experience building strong champions, collaborative teams and productive partnerships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of consumption-based land-and-expand sales models\u0026lt;br\u0026gt;Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated contributions and a consistent track record of success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Based in London (potential relocation to Dubai in 2027) with availability for travel.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable experience working with integration partners\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent English, knowledge of Arabic is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8622319002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443409002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8622319002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R434","title":"Enterprise Account Executive - Retail ","company_name":"Databricks","first_published":"2026-07-14T06:11:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R434\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest problems with big data and AI? This is what we do everyday at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Retail industry. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build strategic partnerships with top retail brands whilst managing complex sales cycles, driving innovation and growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional teams to deliver value to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience developing strong relationships with large (global) Enterprises global accounts,\u0026amp;nbsp; managing virtual teams, and leading complex sales campaigns in major retail accounts is essential\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience working in Big Data, Cloud, or SaaS industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A demonstrable history of exceeding sales quotas in high-growth Enterprise software companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving usage and commit-based engagement models and strategies working with professional services and training teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience co-developing business cases and gaining support from C-level Executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of value-based selling and an ability to articulate that in complex environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable to be onsite with customer weekly (Northern England)\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8440917002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371786002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8440917002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ427R74","title":"Enterprise Account Executive - Retail/CPG","company_name":"Databricks","first_published":"2026-05-20T22:50:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ427R74\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive - Retail/CPG your mission will be to grow some of our focus Retail/CPG enterprise customers in Databricks Japan. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will focus on growing our business in existing accounts. You will report to the Director of Sales, Japan.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will grow strategic accounts in the Retail/CPG vertical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build value in all engagements to guide successful negotiations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will plan, document, and drive the growth of Databricks usage for your customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop a deep and detailed understanding of the customer\u0026#39;s business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership to the customer, important staff, and technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience selling multi-million dollar complex software deals to the region\u0026#39;s most recognizable organizations within the Enterprise segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Selling experience to Enterprise Retail/CPG customers in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build customer champions and collaborative teams to support the implementation of the expansion plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to develop a clear partner strategy and manage it to success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8596447002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433490002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8596447002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R89","title":"Enterprise Account Executive - South Africa","company_name":"Databricks","first_published":"2026-06-30T07:40:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R89\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; London (potential relocation to Dubai in 2027)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Middle East and Africa sales leadership team, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-led approach to create meaningful value for new logo accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own a defined list of prospects and build strategies targeting all critical stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build strong value throughout the sales process to guide successful negotiation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate cross-functional teams to maximise impact across your ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the consumption narrative, using demand plans to surface high-value use cases in each account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience navigating procurement frameworks and mechanisms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in Cloud software, open source technology, or the Data and AI space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Methods for co-developing business cases and securing C-level sponsorship\u0026lt;br\u0026gt;Experience building strong champions, collaborative teams and productive partnerships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of consumption-based land-and-expand sales models\u0026lt;br\u0026gt;Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated contributions and a consistent track record of success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Based in London (potential relocation to Dubai in 2027) with availability for travel.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable experience working with integration partners\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent English\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8634063002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448349002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8634063002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"SLSQ427R337","title":"Enterprise Core Account Executive","company_name":"Databricks","first_published":"2026-07-15T20:01:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R337\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a Named Enterprise Account Executive to join us in Sydney, Australia. As a Core rep at Databricks, you are pivotal in driving the company\u0026#39;s growth by expanding our footprint with existing customers. In this role, you will focus on two of our largest Enterprise customers in Australia. Prior experience in a Strategic and Consultative Sales role with a track record for creating Enterprise customer value and helping solve real business problems with data and AI will be key.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Director of NSW Enterprise Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target new business units and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create strategic account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Engagement: Create a compelling Exec engagement plan, leveraging your prior experience to lead and execute successful C-level strategic discussions and innovative business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Characteristics:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Takes initiative, is proactive and drives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Unwavering Prioritisation \u0026amp;amp; Grit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Detail-oriented\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creative\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coachability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open to Change and uncertainty\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience: Proven track record in sales, ideally with experience selling to strategic enterprise customers. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure first-time commits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Acumen: Understanding of Databricks\u0026#39; platform and the ability to communicate its value to customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4005353002,"name":"Commercial \u0026 Mid-Market Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582323002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428005002,"location":{"name":"British Columbia, Canada; Calgary, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8582323002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R433","title":"Enterprise Core Account Executive, Public Sector","company_name":"Databricks","first_published":"2026-06-08T14:56:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R433\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Core Account Executive, Public Sector, you will own strategic sales into a segment of Canada\u0026#39;s public sector, driving adoption of our data and AI platform across central ministries, local governments, and public institutions. You will lead the full sales cycle, build executive relationships, and collaborate closely with internal and partner teams to support Canada\u0026#39;s digital government and modernization initiatives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and exceed revenue targets by winning new public sector customers in Western Canada including central ministries, local governments, government agencies, and public institutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute a clear territory and account strategy to identify, prioritize, and win high‑potential public sector accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan, document, and drive the expansion of Databricks usage in newly landed accounts, turning initial projects into broad, high‑impact data and AI platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify new AI and data use cases in government operations and feed these insights into Japan’s public sector go‑to‑market, influencing product direction and regional strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution‑oriented, value‑based sales approach that links Databricks to measurable outcomes for public services and citizens.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate Databricks’ internal teams and our ecosystem of partners (SI, cloud, and consulting partners) to run effective sales motions and deliver successful customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of SaaS, cloud, AI, or big data sales experience in Public Sector, with meaningful exposure to public sector accounts and a proven ability to drive adoption of new technologies through a consultative, solutions‑oriented sales approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to navigate complex public sector stakeholder ecosystems, building consensus across multiple departments, budget owners, and decision/approval layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of public sector priorities in Canada, including typical buying processes, buying cycles, decision‑making structures, and the broader ecosystem of partners that support government projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience with Canadian government procurement, including familiarity with budget formulation and execution, tender/RFP processes, evaluation criteria, and relevant compliance and security frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in selling usage‑based PaaS/SaaS or data, AI, and ML solutions is highly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid experience applying structured sales methodologies and processes (e.g., account planning, MEDDPICC, value selling, Command of the Message) to win complex, multi‑stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of creating strong customer champions and leading collaborative internal and external teams to support implementation and expansion within strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear understanding of how to build a focused partner strategy for the public sector and manage SI, cloud, and consulting partners to jointly win and deliver large, impactful projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4012088002,"name":"Calgary, Canada","location":"Calgary, Canada","child_ids":[],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438960002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371014002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8438960002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R68","title":"Enterprise Hunter Account Executive - FSI South","company_name":"Databricks","first_published":"2026-05-19T10:25:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R68\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive at Databricks, you are an experienced enterprise sales professional specializing in selling to Enterprise accounts (FSI). You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always seeking new opportunities, you will close new accounts while maintaining existing ones. Along with the chance to close exciting deals and solve meaningful problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Present a territory plan within the first 90 days\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and apply appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data and Cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success in closing new accounts while working on existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An understanding of Spark and big data is preferable\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8349331002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6334258002,"location":{"name":"Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8349331002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ227R7","title":"Enterprise Hunter Account Executive - FSI West","company_name":"Databricks","first_published":"2026-05-19T09:31:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R7\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive at Databricks, you are an experienced enterprise sales professional specializing in selling to Enterprise accounts (FSI). You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always seeking new opportunities, you will close new accounts while maintaining existing ones. Along with the chance to close exciting deals and solve meaningful problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Present a territory plan within the first 90 days\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and apply appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data and Cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success in closing new accounts while working on existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An understanding of Spark and big data is preferable\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056342002,"name":"Mumbai, India","location":"Mumbai, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438954002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371011002,"location":{"name":"Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8438954002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R67","title":"Enterprise Hunter Account Executive - West","company_name":"Databricks","first_published":"2026-05-19T07:27:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R67\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive at Databricks, you are an experienced enterprise sales professional specializing in selling to Enterprise accounts (Pharma, Real Estate, CPG, Retail etc). You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always seeking new opportunities, you will close new accounts while maintaining existing ones. Along with the chance to close exciting deals and solve meaningful problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Present a territory plan within the first 90 days\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and apply appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data and Cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success in closing new accounts while working on existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An understanding of Spark and big data is preferable\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056342002,"name":"Mumbai, India","location":"Mumbai, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8394014002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6351256002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8394014002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"SLSQ227R272","title":"Enterprise Sales Director,  Utilities \u0026 Telco ","company_name":"Databricks","first_published":"2026-01-28T09:48:55-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R272\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Do you want to help solve the world\u0026#39;s toughest problems with big data and AI? This is what we do every day at Databricks!\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team\u0026#39;s overall quota and growing Databricks consumption. This is a team of account executives that are passionate about building a data ecosystem for UKI, technically knowledgeable and have a strong desire to drive value for our customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will oversee the Telco \u0026amp;amp; Utilities senior sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is hugely impactful part of the UKI sales organisation. We are looking for owners, who will go the extra mile and want to be the very best at what they do.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The position will report directly to the RVP, Enterprise\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead a team of account executives, ensuring you coach them to develop the skills and behaviours they will need to succeed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report on revenue forecast and strategic GTM programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with cross-functional teams to manage a complete revenue and customer success process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire a culture of teamwork, leading with value and achieving desired customers outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop trust-based relationships with customers and partners to ensure long-term success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encourage learning and ongoing understanding of technical product details and our future product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish a revenue growth and investment plan in the first 90 days\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver our strategic growth plans, in collaboration with the other function leaders across EMEA, ensure forecast accuracy and a predictable, high-growth business\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers in UKI within the Data, AI, Cloud, or SaaS Sales Industry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience within the Telco or Utilities vertical\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of exceeding sales quotas in similar high-growth technology companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to engage with and hire sales talent in the market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of value-based sales with both the business and IT stakeholders including C suite\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extended Executive relationship network with key Telco \u0026amp;amp; Utilities customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of the partner ecosystem to help grow Enterprise strategic territories\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success implementing strategies for consumption and commitment-based sales revenue models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8638637002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6450136002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8638637002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"MKTQ327R28","title":"Event Marketing Manager, 3P \u0026 Partner","company_name":"Databricks","first_published":"2026-07-21T13:10:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ327R28\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Event Marketing Manager, 3P \u0026amp;amp; Partner Events\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a key member of the Databricks Marketing team, you will design and execute high-impact third-party and partner events that accelerate pipeline, deepen customer relationships, and elevate the Databricks brand. In this role, you will translate business goals into an integrated event strategy, partnering closely with Sales, Product, and Marketing to deliver measurable outcomes. You will build repeatable programs and processes so our events scale efficiently as the business grows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business impact (pipeline \u0026amp;amp; revenue): \u0026lt;/strong\u0026gt;Deliver an event portfolio that consistently meets or exceeds pipeline and revenue targets, with clear attribution, reporting, and optimization plans for each program that informs go-forward investment decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Audience growth \u0026amp;amp; quality: \u0026lt;/strong\u0026gt;Increase the volume and quality of target accounts and qualified leads across priority events, with a focus on high-intent engagement and conversion to pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Brand \u0026amp;amp; experience effectiveness: \u0026lt;/strong\u0026gt;Deliver high-impact event experiences that clearly communicate company positioning and drive measurable engagement (e.g., session attendance, booth traffic, meetings, and activations tied to target personas).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Integrated event strategy \u0026amp;amp; execution:\u0026lt;/strong\u0026gt; Transform priority events into fully integrated programs (booth, content, meetings and ancillary events) that present a unified narrative, improve lead quality and increase engagement across the event lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Program optimization \u0026amp;amp; insights: \u0026lt;/strong\u0026gt;Continuously improve event performance by applying insights from year-over-year data, attendee feedback, competitive analysis, and conversion metrics to inform planning and investment decisions toward the highest-yield programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sales \u0026amp;amp; stakeholder alignment: \u0026lt;/strong\u0026gt;Establish and scale a repeatable engagement model with Sales and cross-functional partners, resulting in strong pre-event planning, active in-event participation, and timely post-event follow-up, with measurable improvements in stakeholder satisfaction and pipeline conversion.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven event leadership experience owning end-to-end strategy and execution for complex, multi-stakeholder events that drive measurable pipeline and revenue outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong command of event performance metrics, including how to set goals, forecast, and report on pipeline, lead quality, conversion, and ROI for executive and practitioner audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to partner closely with internal stakeholders, translating business priorities into event strategies and securing alignment on objectives, target accounts, follow-up plans, and success criteria.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience optimizing budgets and resources, making data-informed tradeoffs while maintaining or elevating attendee experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional program management and communication skills, with the ability to manage multiple concurrent events, navigate ambiguity, and influence cross-functional stakeholders at all levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep customer and audience empathy, using insights from feedback, research, and data to continuously refine content, formats, and experiences to better serve target segments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$120,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$165,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$149,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$102,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$140,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$96,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$132,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8638732002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448737002,"location":{"name":"Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Brazil LTDA","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":[],"value_type":"multi_select"}],"id":8638732002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"P-1577","title":"Evergreen - FDE Brazil","company_name":"Databricks","first_published":"2026-07-17T12:28:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1577\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4034119002,"name":"Brazil","location":"Brazil","child_ids":[4059190002,4059191002],"parent_id":4104404002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8229672002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6261515002,"location":{"name":"Costa Rica"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Costa Rica SRL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Administration"],"value_type":"multi_select"}],"id":8229672002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1484","title":"Executive Assistant","company_name":"Databricks","first_published":"2025-10-28T13:07:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1484\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Executive Assistants are strategic partners who drive efficiency, foster collaboration, and enable our most senior leaders to scale their impact. As we continue to expand globally, we are seeking an experienced Executive Assistant in Costa Rica to support our executive leadership team. This role will work closely with Executives in Costa Rica and the United States, managing complex calendars, orchestrating high-impact meetings and events, and serving as a trusted liaison with internal and external stakeholders. Occasional travel may be required to support critical company initiatives and events.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Impact you will have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Executive Assistants are empowered to focus on strategic priorities, resulting in a more effective and agile organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively manage and optimize complex, multi-time zone calendars, ensuring alignment with business priorities and anticipating potential conflicts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Independently plan, coordinate, and execute executive travel, team offsites, and high-visibility events, ensuring compliance with company policies and budget.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the primary point of contact for all meeting and event requests, maintaining a high standard of service and responsiveness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain accurate records of meetings, events, and requests, ensuring timely follow-up and closure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and review briefing materials, agendas, and follow-up documentation for executive meetings, ensuring leaders are well-prepared and informed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide coverage and support for other executive staff as needed, demonstrating flexibility and a team-first mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle highly confidential information with the utmost discretion and integrity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster cross-functional collaboration by building strong relationships with other EAs, business partners, and stakeholders across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of executive administrative experience, preferably in a global technology or software organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to exercise sound judgment and make independent decisions in ambiguous or high-stakes situations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced calendar management skills (Gmail and Google Calendar expertise required), with a proven track record of supporting multiple executives across time zones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional organizational, time-management, and prioritization skills; able to manage multiple complex projects simultaneously.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate with C level Executives Assistants\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong relationship management and communication skills (C1 English proficiency required), with the ability to influence and collaborate at all levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience planning and executing large-scale meetings, events, and travel logistics, including budget management and vendor coordination.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High level of discretion in handling sensitive information and confidential matters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactive, solution-oriented, and adaptable to changing priorities and environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to adjust working hours to support executives in different time zones (primarily US).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Occasional travel to the United States is required. B1/B2 preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001022002,"name":"IT","child_ids":[4076796002,4095717002,4095718002],"parent_id":null}],"offices":[{"id":4056203002,"name":"Costa Rica","location":"Costa Rica","child_ids":[4057115002,4057122002],"parent_id":4104404002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603380002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436241002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Administration"],"value_type":"multi_select"}],"id":8603380002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ227R659","title":"Executive Assistant ","company_name":"Databricks","first_published":"2026-06-23T04:50:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R659\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;Databricks Administrative Assistants (AA) play an important role in driving efficiency and scaling our most senior leaders. As we expand our offices globally, we are looking for Executive Assistant in Korea to support our leadership team. These roles will work directly with our EA/AA in the United States to support the calendar scheduling, travel, expenses, and correspondences with internal and external stakeholders on behalf of our leaders. EA will support a Vice President based in Korea and a Director based in Korea, this role may be required to travel to support critical company events.\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;has-nudge\u0026quot; data-nudge-id=\u0026quot;e6b4414b-74d4-46f8-98e1-20934227b68a\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;The executive staff is efficient in their use of time, leading to a more productive team and company.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Manage complex calendars - organizes all meetings including but not limited to team meetings, customer, and internal business partner meetings across international time zones and makes travel arrangements.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Supported executives\u0026#39; calendars are accurate and forward-looking.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;The calendar is effectively prioritized and meetings are scheduled in a timely manner.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Executive travel is planned and booked 30 days out; invoices and expenses are submitted within 2 weeks of cost occurring.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Act as a primary point of contact for any stakeholders for all meeting requests.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ensures all meeting invites have the appropriate details to have an effective meeting outcome.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;May be required to support other executive staff members if there\u0026#39;s a gap in coverage due to PTO, sickness, maternity leave or other absence.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Manage confidential information with discretion and sensitivity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Act as a liaison with other organizations while coordinating efforts to promote proper communication and collaboration.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;6+ years of applicable executive administrative experience, from a global software organization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Attention to detail, organization and process abilities\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Strong calendaring skills (Gmail and Google Calendar experience mandatory)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Excellent organizational, time-management and prioritization skills\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Strong teamwork skills; ability to offer suggestions and improvements to process and work very collaboratively with others\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Relationship management skills, and the ability to build a personal network throughout the company\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Excellent verbal and written communication skills\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Willing to adjust the schedule to the respective time zones of the supported.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ability to communicate clearly and effectively with senior leaders and external partners\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Ability to maintain confidentiality and handle sensitive information with discretion\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Proactive and solution-oriented mindset\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8306218002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6316197002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8306218002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"FEQ426R758","title":"Field CTO - America Industries","company_name":"Databricks","first_published":"2026-01-27T19:08:31-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ426R758\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.​\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background that blends:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on technology and architecture work on data platforms and analytics.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organizational and operating model change (ways of working, skills, governance).​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks.​\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.​\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.​\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$249,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$343,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056367002,"name":"Remote - Washington","location":"Remote - Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8583083002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428323002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8583083002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R276","title":"Field CTO - Public Sector","company_name":"Databricks","first_published":"2026-07-14T11:00:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R276\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Public Sector business to serve as a senior, customer-facing technology and mission transformation leader for strategic government and education accounts. This individual-contributor role sits at the intersection of data and AI strategy, mission modernization, public-sector operating models, and executive relationship building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​ The role will focus on helping agencies, departments, and public institutions use the Databricks Data Intelligence Platform to modernize data estates, strengthen security, improve operations, and deploy AI responsibly in support of mission outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Impact you will have\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including CIOs, CTOs, CDOs, CISOs, program executives, mission owners, and transformation leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape executive thinking on secure data and AI modernization, emphasizing lakehouse and data platform modernization as a foundation for analytics, governance, and generative AI in public-sector environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead executive briefings, strategy sessions, and mission workshops that connect agency priorities, regulatory obligations, security requirements, budget realities, and workforce constraints to practical Databricks-based roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a deep technical counterpart in the field with strong working knowledge of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts, data scientists, and security stakeholders on design trade-offs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate recurring customer needs into reusable public-sector reference architectures, solution blueprints, technical narratives, and thought leadership assets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives, Solutions Architects,\u0026amp;nbsp; product specialists, professional services, and ecosystem partners to drive complex, multi-year platform decisions, expansions, and mission programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured feedback from strategic public-sector customers into Product, Engineering, and Field leadership, especially around governance, security, compliance, interoperability, and public-sector feature requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor senior field engineering talent and help codify playbooks for complex public-sector engagements, including executive discovery, mission-value framing, partner orchestration, and secure deployment patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks externally with senior public-sector audiences through conferences, councils, roundtables, webinars, and executive forums.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant experience working in or with U.S. public-sector institutions, such as federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with public cloud environments such as AWS, Azure, or Google Cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;U.S. citizenship required and active clearance preferred\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$363,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476506002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6385815002,"location":{"name":"Melbourne, Australia; Singapore; Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8476506002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"FEQ227R222","title":"Field Engineering, AI/ML Product Specialist","company_name":"Databricks","first_published":"2026-03-24T04:25:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ227R222\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Field Engineering, AI/ML Product Specialist\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the AI/ML Product Specialist, you will be defining our technical go to market strategy and driving our AI/ML product adoption in the Asia Pacific and Japan region.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the vision and strategy for AI/ML products adoption in Asia Pacific and Japan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop materials for our GTM team to effectively communicate our value proposition\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support our field teams in key strategic pursuit opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the thought leader to build confidence and relationships with our customers at the executive level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present externally at conferences, events and webinars and publish content to establish our position in the market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with our FDE teams and partners to establish best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives that inform strategic data decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in traditional Machine Learning methodologies and have deployed large scale production systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of LLM application architectures (RAG, agentic, fine-tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), eval methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open-source)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of successful pre-sales experience in competitive situations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to define and executive strategic program cross functionally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High impact communication internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8598531002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6434220002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8598531002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"CSQ427R39","title":"Field Technical Program Manager","company_name":"Databricks","first_published":"2026-06-23T03:44:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R39\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a PS Technical Program Manager, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the PS practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. This is a hybrid role based in Korea. You will be reporting to Director, Professional Services/FDE.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Portfolio Success\u0026lt;/strong\u0026gt;: Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence\u0026lt;/strong\u0026gt;: Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Alignment\u0026lt;/strong\u0026gt;: Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership Hub\u0026lt;/strong\u0026gt;: Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentorship\u0026lt;/strong\u0026gt;: Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience\u0026lt;/strong\u0026gt;: 5–8 years managing complex technical programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Bar\u0026lt;/strong\u0026gt;: Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Proficiency\u0026lt;/strong\u0026gt;: Demonstrated ability to integrate AI tools into program management workflows to drive operational performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Process Innovation\u0026lt;/strong\u0026gt;: A track record of enhancing delivery standards and implementing changes that improve operational performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mandatory Certifications\u0026lt;/strong\u0026gt;: PMP Certification (Project Management Professional) required within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Language Proficiency:\u0026lt;/strong\u0026gt; Native-level fluency in Korean and professional working proficiency in English (both written and verbal).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8540665002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6410986002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8540665002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R192","title":"Field Technical Program Manager","company_name":"Databricks","first_published":"2026-06-12T09:55:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R192\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a PS Technical Program Manager, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the PS practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Portfolio Success\u0026lt;/strong\u0026gt;: Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence\u0026lt;/strong\u0026gt;: Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Alignment\u0026lt;/strong\u0026gt;: Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership Hub\u0026lt;/strong\u0026gt;: Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentorship\u0026lt;/strong\u0026gt;: Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience\u0026lt;/strong\u0026gt;: 5–8 years managing complex technical programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Bar\u0026lt;/strong\u0026gt;: Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Proficiency\u0026lt;/strong\u0026gt;: Demonstrated ability to integrate AI tools into program management workflows to drive operational performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Process Innovation\u0026lt;/strong\u0026gt;: A track record of enhancing delivery standards and implementing changes that improve operational performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mandatory Certifications\u0026lt;/strong\u0026gt;: PMP Certification (Project Management Professional) required within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8423289002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364248002,"location":{"name":"Sao Paulo, Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Brazil LTDA","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8423289002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R42","title":"Field Technical Program Manager, Forward Deployed Engineering - LATAM","company_name":"Databricks","first_published":"2026-05-11T18:17:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R42\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Field Technical Program Manager, Forward Deployed Engineering - LATAM\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team\u0026#39;s mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our LATAM customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Acumen \u0026amp;amp; Decision Making:\u0026lt;/strong\u0026gt; A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Program \u0026amp;amp; Project Management:\u0026lt;/strong\u0026gt; Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Leadership:\u0026lt;/strong\u0026gt; Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with BI, data management, and big data technologies is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4059190002,"name":"Remote - Brazil","location":"Remote - Brazil","child_ids":[],"parent_id":4034119002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8182383002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6242690002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8182383002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"GAQ426R223","title":"Finance Manager","company_name":"Databricks","first_published":"2025-10-02T09:15:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ426R223\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for an outstanding Finance Manager to join our FP\u0026amp;amp;A team in our mission to help data teams solve the world\u0026#39;s toughest problems. In this role, you will have the opportunity to strategically assess consumption growth drivers and partner with our GTM team to drive impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, and you will approach them with first principles thinking to come up with a solution.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Analytically solve problems with the ability to gather and summarize large amounts of data to lead efficient executive decision-making; Lead the end-to-end recommendation process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nurture deep, trusted partnerships with Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their respective technical teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Find creative solutions for data challenges and be able to communicate with easy-to-understand narratives and presentations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain financial and operational models, helping us understand real-time forecasts for key financial metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Propose and implement solutions to drive key financial metrics in partnership with the GTM team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide process improvement, standardization, simplification, install proper controls, and reporting enhancements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree in Business, Finance, IT, or equivalent quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years or equivalent tenure from related positions in FP\u0026amp;amp;A, corporate finance, accounting, or data analytics teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business Partnership: Proven ability to drive strong cross-functional relationships (especially with GTM organizations) to achieve business outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Financial Modeling: Be able to understand and update financial models that follow industry best practices. Can maintain complex spreadsheets. Expertise in Google Sheets is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Analysis: Experience in understanding business questions and making data-driven insights. Excellent analytical skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communication: Ability to present financial data using detailed reports, charts, and narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GAAP and non-GAAP financial metrics\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$169,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$232,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8449854002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6375329002,"location":{"name":"Mountain View, California; New York City, New York; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8449854002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"GAQ227R117","title":"Finance Manager","company_name":"Databricks","first_published":"2026-03-06T14:41:38-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ227R117\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for an outstanding Finance Manager to join our FP\u0026amp;amp;A team in our mission to help data teams solve the world\u0026#39;s toughest problems. In this role, you will serve as the strategic finance partner to our Product Support organization, driving financial rigor and operational insights across our support offerings. You will own the Support P\u0026amp;amp;L, build capacity-planning frameworks, and partner cross-functionally to shape the financial strategy behind both new and existing support investments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis and operational modeling, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, from standing up KPIs for emerging support offerings to assessing the financial impact of commercialization decisions, and you will approach them with first principles thinking to come up with a solution.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Build and maintain a workforce management capacity model\u0026lt;/strong\u0026gt; in partnership with Product, Support, Data Science, and StratOps teams to ensure optimal resource planning and allocation across support functions\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Own and operate the Support P\u0026amp;amp;L\u0026lt;/strong\u0026gt;, driving visibility into cost structure, margin dynamics, and financial performance across all support offerings\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Design and implement new KPIs and reporting frameworks\u0026lt;/strong\u0026gt; for both new and existing Support offerings, enabling data-driven decision-making and real-time visibility into operational and financial health\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Partner with Commercialization on impact analysis\u0026lt;/strong\u0026gt; for new Support offerings, assessing financial viability, pricing implications, and expected return to guide go-to-market readiness\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Analytically solve problems\u0026lt;/strong\u0026gt; by gathering and synthesizing large datasets to deliver clear, actionable recommendations to senior leadership; lead the end-to-end recommendation process\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nurture deep, trusted partnerships\u0026lt;/strong\u0026gt; with Product, Support, Data Science, StratOps, Accounting, IT, and their respective technical teams to align on strategic priorities and drive cross-functional outcomes\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Guide process improvement, standardization, and reporting enhancements\u0026lt;/strong\u0026gt; across Support finance workflows, installing proper controls and simplifying processes to scale with the business\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$169,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$232,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8414474002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6361001002,"location":{"name":"Bellevue, Washington; Mountain View, California; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8414474002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"GAQ227R124","title":"Financial Analyst","company_name":"Databricks","first_published":"2026-02-17T21:04:46-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ227R124\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a Financial Analyst to join the Sales Finance team in the FP\u0026amp;amp;A organization. You will report to the Senior Manager, Finance. The Sales Finance team\u0026#39;s primary goal is to help Databricks continue optimizing investment for long-term growth through thoughtful analysis and improving visibility across the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be a trusted advisor to Sales and Finance leadership, delivering insights and providing recommendations for driving sustainable growth. You will improve forecast reliability, enhance corporate reporting, establish processes, and scale our systems to help grow the business. You will analyze usage trends across products, track key performance metrics, and partner with sales strategy on executive-level presentations.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Analyze company performance against core KPIs and identify areas of potential risk and opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build detailed empirical models from scratch to support financial recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze daily usage trends across platforms, products, and business units and communicate insights for an executive-level audience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track the bookings pipeline and forecast impact on top-line financial performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a deep understanding of Databricks’ business model to drive forecasts and business insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales strategy and sales operations, and provide recommendations to finance leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Business, Economics, Accounting, Finance, or a comparable field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of corporate finance or management consulting and \u0026lt;strong\u0026gt;investment banking experience\u0026lt;/strong\u0026gt;; familiarity with the software industry (and SaaS) a must\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in \u0026lt;strong\u0026gt;building financial models \u0026lt;/strong\u0026gt;independently and preparing recommendations, required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience conducting \u0026lt;strong\u0026gt;financial due diligence\u0026lt;/strong\u0026gt; for acquisitions, investments, strategic partnerships, or other corporate transactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of Generally Accepted Accounting Principles (GAAP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent analytical, organizational, and collaboration skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience simplifying and scaling while supporting a fast-moving, high-growth business\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity to learn and solve problems independently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to prioritize objectives in a fast-paced environment to ensure deliverables are met in a timely manner\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert in Excel/Google Sheets (can maintain complex spreadsheets); comfortable managing large datasets and driver-based models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience using SQL or willingness to learn\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$104,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$143,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$93,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$128,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8462016002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6380080002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8462016002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ327R45","title":"Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-03-13T12:41:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R45\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8540455002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6410896002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8540455002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ427R142","title":"Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-05-13T03:49:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R142\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This position will report to Director, FDE in Korea.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439047002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371045002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8439047002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R39","title":"Forward Deployed Engineer - Emerging Enterprise \u0026 DNB","company_name":"Databricks","first_published":"2026-02-26T06:56:00-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R39\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) for the Emerging Enterprise \u0026amp;amp; Digital Natives business in EMEA. you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with Emerging Enterprise \u0026amp;amp; Digital Natives businesses, and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8554531002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6416915002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8554531002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R152","title":"Forward Deployed Engineer - FDE (Fullstack)","company_name":"Databricks","first_published":"2026-05-18T06:13:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R152\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056389002,"name":"Bavaria, Germany","location":"Bavaria, Germany","child_ids":[4007500002],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8611108002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439212002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8611108002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"CSQ327R219","title":"Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-07-23T16:18:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R219\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,155 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,155 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,155 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,155 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056374002,"name":"Remote - Ohio","location":"Remote - Ohio","child_ids":[],"parent_id":4033548002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8519282002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6402855002,"location":{"name":"San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8519282002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"SLSQ427R115","title":"Frontier AI Lab Account Executive ","company_name":"Databricks","first_published":"2026-04-28T15:18:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R115\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates in the listed location(s) are encouraged to apply for this role\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Remote - San Francisco\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Remote-Seattle\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specifically supporting the AI Frontier Labs. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Sr.Director of Enterprise Sales, you will map to enterprise clients under the DNB vertical. \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4005353002,"name":"Commercial \u0026 Mid-Market Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8598730002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6434324002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8598730002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ327R495","title":"Geo Core Account Executive","company_name":"Databricks","first_published":"2026-06-18T13:01:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R495\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates based in these locations preferred:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;New York\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;New Jersey\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Connecticut\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Massachussetts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pennsylvania\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Geo Core Account Executive supporting Digital Native customers at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over enterprise accounts, and will be responsible for expanding consumption within existing business. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will have a direct influence on the data strategy of the most disruptive companies today\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will communicate account strategy to Databricks Senior Leadership on a regular basis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will allocate Databricks resources to break into new accounts and grow existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will use a creative, fail-fast approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Passion for selling a highly technical product in the cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience with Open Source Technologies and build vs buy decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4 - 8 years of experience with Value Selling Methodologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A creative salesperson with a well-defined prospecting motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven years of experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working on existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience selling to FinTech companies preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4005353002,"name":"Commercial \u0026 Mid-Market Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8441857002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372161002,"location":{"name":"Western Australia, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8441857002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ327R9","title":"Geo Core Account Executive","company_name":"Databricks","first_published":"2026-04-15T22:42:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R9\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Enterprise Sales team is looking for an Account Executive to join us in Perth, WA. This is a newly created role to double down on the opportunity identified in the WA market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Core rep at Databricks, you are pivotal in driving the company\u0026#39;s growth by expanding our footprint with existing customers. You will focus on converting prospects into customers and driving the consumption of Databricks\u0026#39; services. You will report to the Director of Enterprise Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Account Executive, you will have a strong command of the SaaS sales process. You know how to present innovation and change through customer vision expansion and can guide opportunities forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners, and importantly, the business value that technology can unlock. Always prospecting for new opportunities, you will engage new accounts whilst continuing to increase value within existing accounts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Characteristics:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Takes initiative, is proactive and drives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Unwavering Prioritisation \u0026amp;amp; Grit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Detail-oriented.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creative\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coachability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open to Change and uncertainty\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience: Proven track record in sales. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure first-time commits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Acumen: Understanding of Databricks\u0026#39; platform and the ability to communicate its value to customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4038814002,"name":"Western Australia, Australia","location":"Western Australia, Australia","child_ids":[],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8636159002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6449084002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8636159002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"SLSQ327R749","title":"Geo Core Account Executive","company_name":"Databricks","first_published":"2026-07-22T16:41:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R749\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates based in these locations preferred:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;New York\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;New Jersey\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Connecticut\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Massachussetts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pennsylvania\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Geo Core Account Executive supporting Digital Native customers at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over enterprise accounts, and will be responsible for expanding consumption within existing business. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will have a direct influence on the data strategy of the most disruptive companies today\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will communicate account strategy to Databricks Senior Leadership on a regular basis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will allocate Databricks resources to break into new accounts and grow existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will use a creative, fail-fast approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Passion for selling a highly technical product in the cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience with Open Source Technologies and build vs buy decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4 - 8 years of experience with Value Selling Methodologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A creative salesperson with a well-defined prospecting motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven years of experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working on existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience selling to FinTech companies preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4005353002,"name":"Commercial \u0026 Mid-Market Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4033535002,"name":"Connecticut","location":"Connecticut","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8598732002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6434325002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8598732002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ327R496","title":"Geo Hunter Account Executive","company_name":"Databricks","first_published":"2026-06-25T19:26:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R496\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups valued over $1B. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quickly, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and apply appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early-stage company, and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hunter (Net-New Logo) Experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8643053002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6451781002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8643053002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"SLSQ327R793","title":"Geo Hunter Account Executive - Digital Natives","company_name":"Databricks","first_published":"2026-07-22T16:32:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R793\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;As a Digital Native Account Executive at Databricks, you have a strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to prospective customers and partners. Always prospecting for new opportunities, you will target net-new accounts. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota. You will report to a regional sales manager.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Assess your accounts and develop a strategy to identify and engage all buying centers\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Use a solution approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Identify the most viable use cases in each account to maximize Databricks impact\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Orchestrate and work with teams to maximize the impact on your ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Build value with all engagements to promote successful negotiations to close point\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Promote Databricks enterprise cloud data platform powered by Apache Spark\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Be Customer focused by delivering technical and business results using the Databricks Platform\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Promote Teamwork...it makes the Dreamwork!\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Prior customer relationships with CIOs and important decision-makers\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Simply articulate intricate cloud technologies and big data\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Success closing new business to net new accounts\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;3+ years of sales experience in SaaS/PaaS companies\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$167,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$229,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$167,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$229,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$167,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$229,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$167,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$229,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603398002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436250002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8603398002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ227R838","title":"Global Regional Systems Integrator Leader","company_name":"Databricks","first_published":"2026-06-26T16:15:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R838\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Consulting \u0026amp;amp; Systems Integrator (C\u0026amp;amp;SI) organization accelerates Databricks\u0026#39; growth by building and managing strategic relationships with the world\u0026#39;s leading data and technology services companies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the \u0026lt;strong\u0026gt;RSI Portfolio Leader\u0026lt;/strong\u0026gt;, you will lead a high-performing team responsible for driving the strategic go-to-market motions across Databricks\u0026#39; Managed Gold Portfolio of Systems Integrator (SI) partners. Serving as a player-coach, you will define and execute a cohesive portfolio strategy while enabling your team to grow and scale some of Databricks\u0026#39; most strategic partnerships.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will focus on expanding executive mindshare, accelerating joint revenue growth, creating scalable partnership models, and driving innovation through deeper collaboration with SI partners. You will work cross-functionally with Sales, Product, Marketing, and Partner teams to maximize the impact of the partner ecosystem and deliver measurable business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports to the Vice President of System Integrator Partners.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop a team of global alliance professionals responsible for managing Databricks\u0026#39; Managed Gold Portfolio of Systems Integrator partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and execute portfolio strategies that drive growth, scale, and long-term value across strategic partner relationships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand and deepen partnerships through jointly developed business plans that deliver predictable, recurring revenue growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage C-suite executives to shape global strategies, align investment priorities, and establish shared business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Accelerate Databricks and partner adoption by identifying new market opportunities, expanding use cases, and driving joint customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute partner enablement and training strategies that increase partner capabilities, grow practices, and expand technical and sales expertise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Secure strategic investments and establish repeatable programs around joint intellectual property, solutions, and go-to-market initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead joint go-to-market campaigns, executive events, and thought leadership activities that increase market awareness, drive customer adoption, and generate new business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain trusted executive relationships across all levels of partner organizations to strengthen strategic alignment and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and manage joint business plans with clear governance and measurable success metrics across Sales, Customer Success, Marketing, Training, Product, and Partner organizations to ensure alignment and accountability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience building, managing, and scaling strategic partnerships with global organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record of successfully leading a portfolio of Regional and Global System Integrator (RSI/GSI) partnerships and delivering measurable business growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of alliance organizations, including executive stakeholders, organizational structures, business strategies, partner cultures, market offerings, and joint value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience launching, scaling, and driving business outcomes with Global System Integrators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain expertise in enterprise Data, Analytics, AI, and cloud technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive global partner management experience spanning the Americas (AMER), Europe, Middle East \u0026amp;amp; Africa (EMEA), and Asia-Pacific (APAC).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing strategic channel relationships and leading complex commercial negotiations and partnership agreements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success operating in high-growth, entrepreneurial organizations and helping scale businesses through periods of rapid expansion\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional executive presence with the ability to influence C-level stakeholders and align cross-functional teams around shared business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong strategic planning, operational execution, and people leadership skills with a demonstrated ability to build and lead high-performing teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$204,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001012002,"name":"Business Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8356420002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6336877002,"location":{"name":"San Francisco, California; United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8356420002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ127R420","title":"Go-To-Market (GTM) Digital Natives Program Leader","company_name":"Databricks","first_published":"2026-03-25T13:23:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ127R420\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the \u0026lt;strong\u0026gt;GTM Digital Native Programs Leader\u0026lt;/strong\u0026gt;, you will operate as the de facto COO and scale pipeline and consumption for the high-growth Databricks’ Digital Native vertical. You will partner in a \u0026quot;two-in-a-box\u0026quot; model with the Industry GTM Leader to translate strategy into durable, repeatable commercial execution across a rapidly scaling global field organization. You will work closely with sales and field engineering leaders to ideate, build, execute, and scale global programs.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will play a critical role in shaping Databricks’ growth trajectory. You will be part of a lean GTM leadership that powers sellers to deliver measurable business outcomes through scale \u0026amp;amp; leverage. You will be the lead orchestrator for your industry vertical, at the center of a mandate to inspire executives, drive industry outcomes, and unleash Databricks’ partner ecosystem in the high-growth SaaS space.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategy \u0026amp;amp; Operating Model\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operating Model Ownership:\u0026lt;/strong\u0026gt; Own and implement end-to-end op-model (across Sales, FE, Product, Engineering, Developer Relations, Partners) in a consistent global approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product-GTM Strategy:\u0026lt;/strong\u0026gt; Inform the annual Digital Native strategy by synthesizing product telemetry and engineering roadmaps with field signals to identify Big Bets in the digital natives space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-Driven Product Feedback:\u0026lt;/strong\u0026gt; Synthesize learnings from internal (field, product, engineering, developer relations) \u0026amp;amp; external (customer, partner, developers) stakeholders into durable best practices\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Market Presence \u0026amp;amp; Influence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Internal Executive Influence:\u0026lt;/strong\u0026gt; Wield two-way influence on Databricks’ Field (Sales, FE, Business Dev), Product \u0026amp;amp; Engineering leadership: i.e., reflect industry signals in product roadmaps, as well as translate product activation goals into verticalized industry programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market Presence:\u0026lt;/strong\u0026gt; Own and engage with technical \u0026amp;amp; business customer and partner executives, build market presence to uncover signals on technical friction, business value and Databricks differentiators.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Industry Evangelism:\u0026lt;/strong\u0026gt; Serve as a visible evangelist \u0026amp;amp; thought leader (e.g., open source advocacy, scaling AI adoption), representing Databricks’ at key customer, partner, industry and developer forums\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Execution \u0026amp;amp; Accountability\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full-Funnel Program Design:\u0026lt;/strong\u0026gt; Select \u0026amp;amp; design the industry’s programs across products (and verticalize product programs) across the full funnel: demand generation → pipe creation \u0026amp;amp; progression → consumption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Asset Creation:\u0026lt;/strong\u0026gt; Create high-quality and scalable program assets that will be used by the full field (Sales, FE, BD, Marketing, Ecosystem) at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field Activation \u0026amp;amp; Community:\u0026lt;/strong\u0026gt; Drive continuous field adoption of program assets and outcomes by cross-pollinating best practices across product and field teams in high-impact community cadences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ecosystem Integration:\u0026lt;/strong\u0026gt; Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Outcome Measurement:\u0026lt;/strong\u0026gt; Deliver commercial outcomes by establishing measurement and monitoring systems that track product telemetry, industry \u0026amp;amp; partner program performance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Accountability:\u0026lt;/strong\u0026gt; Drive cross-functional leadership accountability for program adoption and outcomes through continuous monitoring and executive influence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategic \u0026amp;amp; Operational Mindset\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;COO Mindset:\u0026lt;/strong\u0026gt; Proven ability to act as the operational backbone of a business vertical, focusing on pipeline health, organizational efficiency, and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Execution:\u0026lt;/strong\u0026gt; A track record of defining and translating complex industry strategies into durable, \u0026quot;field-ready\u0026quot; commercial motions for large organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programmatic Vision:\u0026lt;/strong\u0026gt; Experience developing global, scalable GTM frameworks - moving beyond \u0026quot;one-off\u0026quot; deals to create a scalable engine for growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Technical \u0026amp;amp; Domain Expertise\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Chops:\u0026lt;/strong\u0026gt; Technical knowledge on Databricks critical for this market. Comfort with discussing\u0026amp;nbsp; AI \u0026amp;amp; LLM, Lakehouse, Lakebase, governance\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Industry POV:\u0026lt;/strong\u0026gt; A strong point of view on macro trends in high-growth SaaS and key persona triggers, helping to shape our industry advantage against peers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Open Source Knowledge:\u0026lt;/strong\u0026gt; A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Builder Experience:\u0026lt;/strong\u0026gt; Proven track record of \u0026lt;strong\u0026gt;hands-on experience building AI systems\u0026lt;/strong\u0026gt; (MLOps, GenAI apps, or large-scale predictive models).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Execution \u0026amp;amp; Analytical Skills\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full-Funnel Expertise:\u0026lt;/strong\u0026gt; Deep understanding of sales play mechanics, including lead generation, pipeline progression, and consumption drivers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale Orientation:\u0026lt;/strong\u0026gt; A \u0026quot;multiplier\u0026quot; mindset with a passion for activating large-scale field organizations and cross-pollinating best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Entrepreneurial Spirit:\u0026lt;/strong\u0026gt; A \u0026quot;doer\u0026quot; mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Leadership \u0026amp;amp; Scale\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Influence Without Hierarchy:\u0026lt;/strong\u0026gt; Ability to influence \u0026amp;amp; drive outcomes across senior executives \u0026amp;amp; global teams via influence, clarity \u0026amp;amp; presence versus direct reporting lines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Orchestration:\u0026lt;/strong\u0026gt; Skill in collaborating with Product, Engineering, and BD leadership to align product roadmap shifts with commercial requirements specific to high-growth SaaS customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$269,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$370,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$269,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$370,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$269,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$370,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$269,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$370,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4019773002,"name":"Go To Market ","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585021002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429071002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8585021002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ227R77","title":"Head of AI Forward Deployed Engineering (FDE), Public Sector","company_name":"Databricks","first_published":"2026-06-12T11:25:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;CSQ227R77\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE: \u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations, an active U.S. government security clearance is required. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Public Sector AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI Product, Research, and Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a world-class leader to lead and grow our \u0026lt;strong\u0026gt;AI FDE Public Sector \u0026lt;/strong\u0026gt;team. In this role, you will lead public sector customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top AI engineers, and manage a portfolio of key accounts. You will report directly to the Head of Public Sector, FDE.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and scale a world-class AI FDE team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead strategic AI initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape cross-functional collaboration by influencing Product, R\u0026amp;amp;D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own OKRs for AI-services led accounts, revenue, utilization, and public references\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks as a thought leader in AI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Passion for transforming the public sector with data and AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading teams building cutting-edge production AI solutions in cloud environments (AWS, Azure, or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;“Company-first” mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing consulting or professional services leadership role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$232,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$320,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7293607002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5861715002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":7293607002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"GAQ125R25","title":"Head of Corporate Engineering","company_name":"Databricks","first_published":"2024-07-17T15:32:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;GAQ125R25\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Head of Corporate Engineering, you will be responsible for Enterprise engineering and operations globally. You will be responsible for building and managing a highly technical enterprise engineering team, developing first principled-based strategies, and enabling strong enterprise security. Key responsibilities include engineering, securing and optimizing cloud infrastructure, Identity and Access Management, Endpoints, Collaboration tools, and ensuring compliance with SOX, PCI DSS, and FedRAMP compliance. The Head of Corporate Engineering will work closely with R\u0026amp;amp;D on managing engineering tools like Jira, Confluence, and GitHub, driving efficient adoption and integration. Strong technical and influencing leadership principles coupled with the ability to manage a complex, scaling, and fast-moving enterprise environment are essential.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports directly to the Vice President, Infrastructure and Operations\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this influential role, you will be responsible for:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Securing the Enterprise:\u0026lt;/strong\u0026gt; Working closely with Enterprise Security organization to harden and secure our cloud environments, secret management, collaboration tools, endpoints, SaaS environments, IAM tools, and more. Success measured in continuous improvement of our enterprise security hardening standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Building and Scaling our Cloud Infrastructure\u0026lt;/strong\u0026gt;: Your team will be responsible for establishing and implementing enterprise cloud infrastructure including establishing Infrastructure Provisioning, SRE services, 24/7 on-call support, Infra as Code, observability, and more. In addition, you will be responsible for managing cloud budgets, vendor management, and establishing cost optimization initiatives. Success is measured in increased developer velocity while securing \u0026amp;amp; scaling the cloud infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineering Tooling\u0026lt;/strong\u0026gt;: Partner closely with R\u0026amp;amp;D teams to establish policies, configurations, run-books, SLAs, hardening, scalability and availability of engineering tools like Github, Jira, Atlassian, and more\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Endpoint Engineering\u0026lt;/strong\u0026gt;: Enable extreme automation for endpoint management with zero-touch deployment, observability (synthetic and real-time), provisioning/de-provisioning, and establishing standards / SLAs. Enforce security policies, configure \u0026amp;amp; manage security settings and ensure compliance across all endpoints and mobile devices. Success is measured in terms of end-user satisfaction and % of manual touch.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration Management\u0026lt;/strong\u0026gt;: Ensure we provide world class tools to our employees to be extremely productive and collaborative. This would include but not be limited to managing and scaling internal workplace products like Gmail, Slack, Atlassian, Moveworks, Glean, and more. Success is measured by user satisfaction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Identity \u0026amp;amp; Access Management\u0026lt;/strong\u0026gt;: Manage the IAM team from IAM implementation, access standards enforcement, SLA management, and compliance to various standards like FedRamp, IL5, PCI, and more. Included are both internal and external identity providers to be managed. Success is measured by compliance, Identity governance, and availability\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Desired Success Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A high-performing enterprise engineering team capable of handling complex technical projects with agility and high quality.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Well defined cloud strategy ensuring the stability, scalability, and security of cloud infrastructure. Overhaul of current processes and workflows to address inefficiencies and increase team velocity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Robust endpoint security with Implementation of comprehensive security measures for all endpoints, including Mac, Windows, and mobile devices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver high-quality employee experience with productivity tools (Gmail, Slack, Atlassian tools, Moveworks, GitHub) with a robust forward-looking roadmap.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient operational support for Tier 3 IT services with minimized production incidents. Implementation of robust incident and change management processes with mature operational practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient and mature processes for system integrations related to Mergers and Acquisitions (M\u0026amp;amp;As), ensuring timely smooth transitions during M\u0026amp;amp;A integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Development and implementation of automation tools and frameworks, Identification of automation opportunities to reduce manual toil and improve accuracy.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10 years of experience managing Cloud infrastructure at large enterprises. Extensive experience managing public cloud implementations in AWS. Experience with GCP and Azure will be a plus.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;In-depth understanding of Cloud native technologies to lead and guide the team. Must have hands-on experience in troubleshooting and debugging issues in production environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working experience in managing DevOps/SRE practices OKRs (Objective and Key Results), Agile development, Infra-as-code, SRE (Site Reliability Engineering), DevOps measurement such as DORA KPIs,\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;In-depth understanding of each collaboration tool\u0026#39;s features, functionalities, and configurations (e.g., Gmail for email, Slack for messaging). Ability to identify and integrate and optimize the use of various tools for seamless collaboration (e.g., connecting Jira with GitHub for Dev metrics).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading a team of senior professionals working asynchronously in a remote, distributed team. Strong communication skills, with clear verbal communication and written communication skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative style: partners well with cross-functional teams to solve hard problems and to complete complex deliverables with quality and business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide mentorship and guidance to team members to ensure that their skills and knowledge are kept up-to-date\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$265,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$364,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076796002,"name":"Exec IT","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8501026002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6395709002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8501026002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ227R700","title":"Head of EMEA Financial Services GTM","company_name":"Databricks","first_published":"2026-04-14T10:21:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R700\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Go-to-Market Leader for EMEA Financial Services, you will drive the go-to-market strategy to grow the Banking/Payments, Capital Markets and Insurance businesses. You will be the domain expert and business executive for financial services within Databricks. You will set the vision, build assets for field productivity, maintain executive relationships with customers and partners, and work with a cross-functional team across Databricks. You have a passion for how Data+AI will transform the banking industry, be familiar with unique challenges that European Financial Service Institutions (FSIs) face, and be effective at influencing decision makers across customers and partners.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This job will require travel for conferences, customer and team meetings. You will report to the VP of Financial Services, Cyber Security and Sustainability GTM.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the strategy for Financial Services GTM - create growth execution plan, drive C-level relationships with customers, and drive new customers logos and revenue growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the sales and pre-sales teams to create account-level, segment-level and region-level go-to-market plans across the globe for the vertical\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with partners to develop strategic C-level relationships with ISV and CSI partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify operational gaps in each sub-segment of the GTM motion, be data-driven about quantifying business opportunities and execute improvement plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop comprehensive sub-vertical sales plays with Sales Programs teams to build scalable and geographically tailored motions to drive growth in EMEA.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a thought leader in the industry by authoring white-papers, speaking at events, and engaging with C-suite\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become trusted advisor to multiple stakeholders within Databricks from product, sales, pre-sales, marketing, to partner teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with Sales Enablement teams to boost productivity of verticalised sales and pre-sales teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with marketing to develop Financial Services content, collateral, blogs and demand generation plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keynote marquee industry events and plan and execute Databricks events in Financial Services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure Databricks has security messaging and positioning for Financial Services\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working as an executive (CxO) in Banking for 10+ years.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intimate knowledge of key global regulations in Banking/Payments, Capital Markets and Insurance industries with a particular focus on European regulations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving change at large FSI institutions both from technical and business perspective with a strong understanding of how large FSIs make decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong customer-facing presence (CXO, IT and Business Leaders), ability to cultivate executive relationships and open doors for the field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in with cross-functional resources to built-out Vertical Solutions on an existing technology platform that has generated revenue and value for the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with sales and technical pre-sales, building go-to-market sales kits to drive market penetration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of the technology landscape in banking/payments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with program managing vertical solutions (which includes: collecting, tracking and prioritising vertical business requirements, working with technical resources to ensure timelines are met, collaborating with marketing to develop marketing assets and event planning, working with partner teams to track partner relationship progress ensuring key milestones are met)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to enable and coach sales teams on how to position technology to customers in Financial Services\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076800002,"name":"Exec Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493722002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392689002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8493722002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"MKTQ127R2","title":"Head of Marketing - Japan","company_name":"Databricks","first_published":"2026-04-12T20:16:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;MKTQ127R2\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking an exceptional marketing leader to serve as Head of Marketing for Japan. As Head of Marketing for Japan, you will serve as the country marketing leader and strategic business partner to the Japan leadership team helping shape overall go-to-market strategy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be responsible for defining and executing Databricks’ integrated marketing strategy for Japan to accelerate category leadership, pipeline growth, customer adoption, and long-term market expansion. This includes building Databricks’ reputation and presence in one of our most strategic global markets while ensuring marketing is deeply aligned to business priorities across sales, partners, customer success, and corporate functions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires a highly strategic, commercially-minded marketing executive who can balance long-term market development with near-term revenue accountability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the VP Marketing, APJ, you will lead cross-functional orchestration across global, APJ, and in-country teams to deliver high-impact, locally relevant programs that drive measurable business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;KEY RESPONSIBILITIES\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Business \u0026amp;amp; Market Leadership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the senior marketing leader and trusted advisor to the Japan leadership team, contributing to country strategy and operating as a key voice in market planning and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own country marketing strategy across reputation, demand, customer engagement, and ecosystem development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with country sales leadership to align marketing investments with strategic growth priorities, whitespace opportunities, and account segmentation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Integrated Marketing Strategy\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute Japan’s end-to-end marketing strategy across brand, demand generation, executive engagement, customer marketing, communications, and events.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure global and APJ campaigns are effectively localized and activated to maximize impact in-market.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build innovative, high-performing programs tailored to Japan’s unique buyer, cultural, and market dynamics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Partner Marketing \u0026amp;amp; Ecosystem Development\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop partner marketing strategy in close partnership with alliances and cloud ecosystem teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage partners as a force multiplier to expand market reach, accelerate pipeline creation, and deepen customer engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build joint go-to-market motions with strategic ecosystem partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;AI-First Marketing Leadership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Champion modern, AI-enabled marketing practices and help evolve the Japan marketing organization toward AI-native ways of working.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate fluency in emerging AI technologies and their implications for marketing execution, productivity, and customer engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously identify opportunities to improve marketing effectiveness through data, automation, and AI.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Team Leadership \u0026amp;amp; Talent Development\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Coach and mentor talent to elevate strategic thinking, executional excellence, and future leadership capability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, innovation, collaboration, and continuous learning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Success Measures / Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive measurable contribution to pipeline, consumption, and customer adoption targets in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Increase Databricks’ reputation, awareness, and category leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand partner-sourced / partner-influenced pipeline contribution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a high-performing, scalable marketing team and operating model for Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish marketing as a strategic growth driver and trusted business partner to the Japan leadership team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of progressive marketing leadership experience in enterprise technology / high-growth software environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience leading country or regional marketing organizations in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to operate as a strategic business leader and partner to senior sales / country executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience across field marketing, demand generation, executive engagement, partner marketing, communications, and events.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of enterprise go-to-market models and complex B2B buying journeys.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong commercial acumen with fluency in pipeline, funnel, and revenue metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building and developing high-performing teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of AI’s impact on marketing and go-to-market, with ability to lead modern AI-enabled marketing transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication, executive presence, and stakeholder management skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Native / fluent Japanese and business-level English required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7856268002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6099077002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":7856268002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"SLSQ326R237","title":"Hunter Account Executive - Philippines ","company_name":"Databricks","first_published":"2025-03-21T02:50:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ326R237\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of our accelerating APJ growth, Databricks is looking for a dynamic Enterprise Account Executive to join our rapidly growing team. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business in Philippines. The role is based in Singapore. You will report to the Enterprise Director of Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in the Philippines. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Present a territory plan within the first 90 days\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and apply appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, and SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;public-DraftStyleDefault-unorderedListItem public-DraftStyleDefault-depth0 public-DraftStyleDefault-listLTR\u0026quot; data-block=\u0026quot;true\u0026quot; data-editor=\u0026quot;e84pr\u0026quot; data-offset-key=\u0026quot;cm6s3-0-0\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;public-DraftStyleDefault-block public-DraftStyleDefault-ltr\u0026quot; data-offset-key=\u0026quot;cm6s3-0-0\u0026quot;\u0026gt;\u0026lt;span data-offset-key=\u0026quot;cm6s3-0-0\u0026quot;\u0026gt;\u0026lt;span data-text=\u0026quot;true\u0026quot;\u0026gt;Bachelors Degree and 5+ years of experience selling SaaS solutions to Enterprise Customers in Philippines\u0026lt;/span\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407869002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356426002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8407869002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ127R151","title":"Incident Manager","company_name":"Databricks","first_published":"2026-06-30T17:09:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Incident Manager\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;US Remote\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;CSQ127R151\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Incident Manager, you will lead Databricks’ most critical production incidents while providing clear, accurate, and timely communication to customers, executives, and engineers. You’ll serve as both incident commander and reliability engineer; orchestrating multi-team responses, driving real-time status updates, and partnering with engineering to analyze and prevent failures. Your work will ensure Databricks maintains not only technical resilience but also customer and stakeholder confidence during high-impact events.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role combines operational leadership, technical systems knowledge, and exceptional communication skills. You will be at the intersection of engineering depth and operational clarity, ensuring that every major incident is managed with precision, transparency, and continuous improvement.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have here:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead critical incidents\u0026lt;/strong\u0026gt; — coordinate multi-disciplinary response efforts across Databricks’ cloud-based services to rapidly mitigate impact and restore operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive technical root cause analysis\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;and\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;reliability improvements:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;collaborate with engineering teams to trace and document underlying causes across distributed systems, services, and data stores.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summarize key learnings, clearly communicate action items, and ensure that technical and procedural improvements are followed through.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own communications during incidents\u0026lt;/strong\u0026gt; — deliver frequent, high-quality updates to internal stakeholders (executives, engineering leadership, support) and compose and publish customer-facing notifications that are accurate, timely, and empathetic.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and train peers\u0026lt;/strong\u0026gt; in both incident communication and technical response disciplines to raise the overall quality of Databricks’ incident response.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What are we looking for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in incident management, site reliability engineering, or production operations supporting large-scale, cloud-native systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead and coordinate high-severity incidents, including identifying impact, isolating fault domains, and managing multi-team response efforts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of cloud infrastructure (AWS, Azure, or GCP) — including compute, networking, storage, and observability components.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in log analysis and debugging:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with log aggregation and search tools (e.g., Datadog, Elasticsearch, Splunk, Cloud Logging, or OpenTelemetry).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with observability systems — metrics, logging, and tracing frameworks (Prometheus, Grafana, OpenTelemetry, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in at least one major programming or scripting language (Python, Go, or Bash) for automating diagnostics, data collection, or analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing and maintaining incident playbooks and communication templates to ensure consistent, timely updates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences, are required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS, Master\u0026#39;s or other advanced degree in Computer Science or Computer Engineering, or related Engineering field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$103,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$145,525 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8480642002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6387439002,"location":{"name":"Georgia; Illinois; Massachusetts; New York; North Carolina; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8480642002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"FEQ227R255","title":"Industry Lead Solutions Architect - Financial Services","company_name":"Databricks","first_published":"2026-04-15T16:27:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R255\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks\u0026#39; Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers\u0026#39; most critical business challenges across Financial Services sub-verticals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Define and execute the Databricks Industry strategy\u0026lt;/strong\u0026gt; — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Create standardized frameworks for asset quality and prioritization\u0026lt;/strong\u0026gt; — define what \u0026quot;good\u0026quot; looks like for industry\u0026amp;nbsp; assets, and determine prioritization of asset creation including build-vs-partner decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive joint GTM strategy with partners\u0026lt;/strong\u0026gt; — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Embed with strategic Financial Services customers\u0026lt;/strong\u0026gt; — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Guide customers through the full use case lifecycle \u0026lt;/strong\u0026gt;— from establishing credibility and setting vision, through winning evaluations with \u0026quot;golden\u0026quot; POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale Industry Adoption:\u0026lt;/strong\u0026gt; You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Expertise:\u0026lt;/strong\u0026gt; 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deep domain expertise in Financial Services\u0026lt;/strong\u0026gt; — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking \u0026amp;amp; Payments, Insurance, Asset \u0026amp;amp; Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven ability to develop and execute industry-specific GTM strategies\u0026lt;/strong\u0026gt; — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Partnerships:\u0026lt;/strong\u0026gt; Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership \u0026amp;amp; Enablement:\u0026lt;/strong\u0026gt; Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Excellent communication and storytelling skills\u0026lt;/strong\u0026gt; — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$363,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8451296002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6375891002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8451296002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ327R173","title":" Lakebase Sales Specialist ","company_name":"Databricks","first_published":"2026-03-19T12:26:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R173\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt; – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Account Executive role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569552002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422871002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569552002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R363","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-02T05:48:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R363\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist \u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569558002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422874002,"location":{"name":"Herzliya, Israel"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Redash I.O Ltd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569558002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R366","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-22T11:32:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R366\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026amp;nbsp;\u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with\u0026amp;nbsp;\u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4061631002,"name":"Herzliya, Israel","location":"Herzliya, Israel","child_ids":[],"parent_id":4018693002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569453002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422823002,"location":{"name":"Sao Paulo, Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Brazil LTDA","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569453002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R305","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-25T20:06:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R305\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist \u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Native Portuguese language skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4059191002,"name":"Sao Paulo, Brazil","location":"Sao Paulo, Brazil","child_ids":[],"parent_id":4034119002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569572002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422881002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569572002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R373","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-01T21:28:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R373\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist Account Executive\u0026lt;/strong\u0026gt; in Japan to help customers modernize their operational data foundation with\u0026amp;nbsp;\u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569522002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422856002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569522002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R347","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-08T14:08:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R347\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist \u0026lt;/strong\u0026gt;to help customers modernise their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas, including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT,\u0026lt;/strong\u0026gt; articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardisation and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership: \u0026lt;/strong\u0026gt;Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement: \u0026lt;/strong\u0026gt;Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership:\u0026lt;/strong\u0026gt; Develop an internal and external presence, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Relevant enterprise sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569457002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422825002,"location":{"name":"Mexico City"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Mexico","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569457002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R307","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-25T20:05:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R307\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist \u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Native Spanish language skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4097831002,"name":"Mexico City","location":"Mexico City","child_ids":[],"parent_id":4094353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569554002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422872002,"location":{"name":"Milan, Italy"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Italy S.r.l","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569554002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R364","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-22T11:15:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R364\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026amp;nbsp;\u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with\u0026amp;nbsp;\u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in English and in Italian required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed \u0026lt;a href=\u0026quot;https://drive.google.com/open?id=154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Italy Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;€194.000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;€266.000 EUR\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4122257002,"name":"Milan, Italy","location":"Milan, Italy","child_ids":[],"parent_id":4122256002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569524002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422857002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569524002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R348","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-23T04:33:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R348\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist \u0026lt;/strong\u0026gt;to help customers modernise their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas, including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT,\u0026lt;/strong\u0026gt; articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardisation and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership: \u0026lt;/strong\u0026gt;Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement: \u0026lt;/strong\u0026gt;Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership:\u0026lt;/strong\u0026gt; Develop an internal and external presence, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Relevant enterprise sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569592002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422891002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569592002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R383","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-08T02:46:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R383\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist Account Executive\u0026lt;/strong\u0026gt; in Korea to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569403002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422800002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569403002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R282","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-03T12:39:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R282\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;**We are hiring for multiple roles.**\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist \u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4013297002,"name":"Toronto, Canada","location":"Toronto, Canada","child_ids":[],"parent_id":4033854002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569410002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422803002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569410002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R285","title":"Lakebase Sales Specialist","company_name":"Databricks","first_published":"2026-06-04T10:48:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h1\u0026gt;\u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026lt;/strong\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;**While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are hiring for multiple roles.**\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across two key motions simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive longer-term Postgres standardization and migration within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569556002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422873002,"location":{"name":"Spain"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Spain -  Databricks Spain S.L.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569556002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R365","title":"Lakebase Sales Specialist ","company_name":"Databricks","first_published":"2026-06-22T11:03:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R365\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026amp;nbsp;\u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with\u0026amp;nbsp;\u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4083055002,"name":"Madrid","location":"Madrid","child_ids":[],"parent_id":4083056002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569510002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422850002,"location":{"name":"Hesse, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569510002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R341","title":"Lakebase Sales Specialist (Central)","company_name":"Databricks","first_published":"2026-06-05T12:37:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R341\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking multiple \u0026lt;strong\u0026gt;Lakebase Sales Specialists (Central)\u0026amp;nbsp;\u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is based in Munich, Germany (flexible within Germany for the right candidate), and will cover customers in the Central region (Germany, Switzerland, Austria, Eastern Europe).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569516002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422853002,"location":{"name":"Zürich, Switzerland"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Switzerland GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569516002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R344","title":"Lakebase Sales Specialist (Central region)","company_name":"Databricks","first_published":"2026-06-22T06:50:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R344\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to help customers modernize their operational data foundation with\u0026amp;nbsp;\u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. This role is based in Zurich, Switzerland and will work with our customers across the Central region.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4026450002,"name":"Zürich, Switzerland","location":"Zürich, Switzerland","child_ids":[],"parent_id":4039464002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569535002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422862002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569535002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R354","title":" Lakebase Sales Specialist (Enterprise UKI) ","company_name":"Databricks","first_published":"2026-06-03T02:06:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R354\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;operational workloads\u0026amp;nbsp;and\u0026amp;nbsp;AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new Lakebase revenue\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with outcomes\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;platform teams and developers,\u0026amp;nbsp;data teams, and\u0026amp;nbsp;central IT\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex, multi-threaded sales cycles\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate proof-of-value and POCs\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compete and win\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align to measurable business outcomes\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;technical stakeholders\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;business stakeholders\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;value selling\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;communication, storytelling, and negotiation\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt; – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569479002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422835002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569479002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R318","title":"Lakebase Sales Specialist- Financial Services","company_name":"Databricks","first_published":"2026-06-03T14:22:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Financial Services vertical to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across two key motions simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive longer-term Postgres standardization and migration within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field, account, \u0026amp;amp; customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569461002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422827002,"location":{"name":"Central - United States; Northeast - United States; Southeast - United States; United States; West Coast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569461002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R309","title":"Lakebase Sales Specialist, Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-06-02T16:06:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;SLSQ327R309\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;**While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are hiring for multiple roles.**\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lakebase Sales Specialist, Healthcare \u0026amp;amp; Life Sciences\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Databricks is seeking a Lakebase Sales Specialist to help healthcare \u0026amp;amp; life sciences customers modernize their operational data foundation with\u0026amp;nbsp;Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;This role requires the ability to operate across two key motions simultaneously:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Success in this role requires strength in four areas:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569496002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422843002,"location":{"name":"Remote - California; Remote - Colorado; Remote - Texas; United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569496002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R328","title":"Lakebase Sales Specialist-Manufacturing","company_name":"Databricks","first_published":"2026-06-08T12:52:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R328\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Lakebase Sales Specialists to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Retail vertical to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across two key motions simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive longer-term Postgres standardization and migration within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field, account, \u0026amp;amp; customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569562002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422876002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569562002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R368","title":"Lakebase Sales Specialist - MEA","company_name":"Databricks","first_published":"2026-06-22T11:53:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R368\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026amp;nbsp;\u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with\u0026amp;nbsp;\u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569506002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422848002,"location":{"name":"Remote - Georgia; Remote - Texas; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569506002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R338","title":" Lakebase Sales Specialist-MFG","company_name":"Databricks","first_published":"2026-06-15T11:11:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R338\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Lakebase Sales Specialists to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Retail vertical to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across two key motions simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive longer-term Postgres standardization and migration within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field, account, \u0026amp;amp; customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569436002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422815002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569436002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R297","title":"Lakebase Sales Specialist - Retail","company_name":"Databricks","first_published":"2026-06-01T11:57:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Lakebase Sales Specialist\u0026amp;nbsp; (Retail, Consumer Goods, Travel \u0026amp;amp; Hospitality)\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;**While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are hiring for multiple roles.**\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a \u0026lt;strong\u0026gt;Lakebase Sales Specialist\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives within our Retail vertical to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$292,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$402,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569548002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422869002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569548002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R361","title":"Lakebase Sales Specialist (UKI)","company_name":"Databricks","first_published":"2026-06-17T08:00:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R361\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking multiple \u0026lt;strong\u0026gt;Lakebase Sales Specialists (UKI) \u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is based in London, United Kingdom (flexible within the UK for the right candidate), and will cover customers in the UK and Ireland.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569594002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422892002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569594002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R384","title":"Lakebase Specialist Sales","company_name":"Databricks","first_published":"2026-06-03T01:09:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R384\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist Account Executive\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;operational workloads\u0026amp;nbsp;and\u0026amp;nbsp;AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new Lakebase revenue\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with outcomes\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;platform teams and developers,\u0026amp;nbsp;data teams, and\u0026amp;nbsp;central IT\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex, multi-threaded sales cycles\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate proof-of-value and POCs\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compete and win\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align to measurable business outcomes\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the field\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;act as a force multiplier\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;technical stakeholders\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;business stakeholders\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;value selling\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;communication, storytelling, and negotiation\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;data platforms, lakehouse architectures, and cloud ecosystems\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;reverse ETL, real-time decisioning, and operational analytics\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;AI-native and agent-driven applications\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;partners and ISVs\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569564002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422877002,"location":{"name":"Melbourne, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569564002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R369","title":"Lakebase Specialist Sales","company_name":"Databricks","first_published":"2026-06-04T03:12:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R369\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist Account Executive\u0026lt;/strong\u0026gt; in Melbourne to help customers modernise their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4012490002,"name":"Melbourne, Australia","location":"Melbourne, Australia","child_ids":[],"parent_id":4033878002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569566002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422878002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569566002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R370","title":"Lakebase Specialist Sales","company_name":"Databricks","first_published":"2026-06-04T03:08:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R370\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Lakebase Sales Specialist Account Executive\u0026lt;/strong\u0026gt; in Sydney to help customers modernise their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our\u0026amp;nbsp;\u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt;\u0026amp;nbsp;offering for\u0026amp;nbsp;\u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for\u0026amp;nbsp;\u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;for key Lakebase personas — including\u0026amp;nbsp;\u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;,\u0026amp;nbsp;\u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and\u0026amp;nbsp;\u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt;\u0026amp;nbsp;— articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt;\u0026amp;nbsp;against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt;\u0026amp;nbsp;such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across\u0026amp;nbsp;\u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt;\u0026amp;nbsp;simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt;\u0026amp;nbsp;by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can\u0026amp;nbsp;\u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field enablement\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;– Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(developers, architects, data engineers) and\u0026amp;nbsp;\u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading\u0026amp;nbsp;\u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to\u0026amp;nbsp;\u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong\u0026amp;nbsp;\u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent\u0026amp;nbsp;\u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt;\u0026amp;nbsp;skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling\u0026amp;nbsp;\u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt;\u0026amp;nbsp;(AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of\u0026amp;nbsp;\u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt;\u0026amp;nbsp;use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to\u0026amp;nbsp;\u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt;\u0026amp;nbsp;that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with\u0026amp;nbsp;\u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8423972002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6324932002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8423972002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"SLSQ426R506","title":"Lead Adoption Architect - Agent Bricks ","company_name":"Databricks","first_published":"2026-02-15T15:00:41-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ426R506\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Product Adoption Architect drives financial performance and field effectiveness for a Databricks’ product line. They will work closely with PMs teams and GTM teams to lay out the playbook, focus and execution on GTM actions for product priorities. They set the requirements and vision for product plays that can be amplified across the entire Field. Adoption Architects also works with product management to collect signals from the field and establish product-market-fit. They triage product escalations and represent the field perspective on strategic decisions. The adoption architect works with field leaders to create a strategy to hit their product specific targets, and create a community of embedded product leads (EPLs) across the field to drive behavior and accountability at the ground level.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create the strategy and definition of scalable, repeatable Product Programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish global plays (deliverables, resources, tracking, program management) that enable business units to execute plays and drive product line adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with BU leaders and EPLs to drive adoption of these programs and achieve meaningful $DBUs. .\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibly partner with the PM to align roadmaps with play objectives and markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize customer blockers to maximize field impact of product development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proposed Metrics:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Measure 1: Product Line $DBUs at a company level and BU level.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in the data analytics space to understand and prioritize product capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven trusted advisor to technical executives that drive strategic data decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operationally minded and ability to design at a system level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong execution and ability to drive to outcomes in the face of ambiguity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership skills - ability to coordinate with various roles across GTM and R\u0026amp;amp;D that contribute toward product line adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$363,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$363,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$363,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$363,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8486165002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6389715002,"location":{"name":"USCA"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8486165002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ227R500","title":"Leader of GTM Technical \u0026 Product Execution Excellence","company_name":"Databricks","first_published":"2026-05-20T12:36:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID: \u0026lt;/strong\u0026gt;SLSQ227R500\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a technically savvy, visionary leader that can partner with the SVP of Field Engineering (also a co-founder)\u0026amp;nbsp; and the broader leadership team of a 3,000-person global organization within Databricks. This is a rare opportunity to shape the future of a rapidly growing technology company by defining and executing strategies that drive scale, productivity, and technical excellence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is focused on several strategic outcomes critical for the future growth of Databricks:\u0026amp;nbsp; Shaping and driving the future of FE, Ensuring product execution at scale, Driving effective Delivery and Enablement execution, and being a company-first leader that can bridge across GTM and Product\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will also help drive a high-performing, AI-driven builder culture, identifying ways to leverage AI, automation, and tooling to increase efficiency, improve decision-making, and enable teams to focus on the highest-impact work. This is a high-visibility, high-impact role for someone who thrives at the intersection of strategy, execution, and technical leadership.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Successful Outcomes\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Business partner to our SVP, FE to shape the future of this function\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;OKRs/Metrics: Put in place OKRs, and metrics to measure performance\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic Planning \u0026amp;amp; Execution: Partner with the SVP and leadership team to set long-term organizational strategy, drive critical initiatives, and ensure cross-functional alignment.\u0026lt;br\u0026gt;Future Operating Models: Define, design, and test innovative operating models for the organization, deciding where to centralize, where to push accountability to BUs, and which initiatives to pilot\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ensure GTM Product Execution at scale\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide key inputs on product planning, product target setting, and product resources to the central GTM planning team\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run the the inspection cadence and work across Product, Sales, Operations, FE teams to quickly resolve issues (e.g, pipeline, product gaps)\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively surface and address gaps both with regional teams and with product teams to improve execution\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Work with PS and Enablement leaders to ensure enablement and delivery excellence with the operations team\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work with key business stakeholders to shape PS and Enablement strategy (covers topics like FDE strategy, resourcing and hiring strategy)\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure Professional Services and Enablement operations scale with AI and Automation\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Be a company-first leader:\u0026lt;/strong\u0026gt; Brickers are awesome and need strong leadership and we expect leaders to be company-first and first-team\u0026amp;nbsp;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership vision and clarity\u0026lt;/strong\u0026gt;:\u0026amp;nbsp; Lead with vision, clarity, and do not be afraid to take the tough decisions \u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;AI-Driven Productivity \u0026amp;amp; Innovation\u0026lt;/strong\u0026gt;: Enable a builder-first, AI-first culture by identifying opportunities to leverage AI, tooling, and automation to improve productivity and impact across the org.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Influence\u0026lt;/strong\u0026gt;: Collaborate with Strategy and Operations teams, Product, Sales, Finance, People, and other teams to ensure strategic initiatives are executed effectively and priorities are aligned.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Organizational Insight \u0026amp;amp; Experimentation\u0026lt;/strong\u0026gt;: Use data, experience, and technical expertise to identify bottlenecks, test new approaches, and recommend solutions that optimize performance and growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep technical understanding of field engineering organizations, enterprise solutions, and technology strategy, with the ability to assess and evolve end-to-end Field Engineering models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in strategy, business operations, or technical leadership in high-growth technology companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to define strategy and execute at scale in complex, technical organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience running centralized technical or operational functions and influencing distributed teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong perspectives on leveraging AI, automation, and tooling to drive productivity, improve decision-making, and enable a builder-first culture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional cross-functional collaboration and influence skills; comfortable working across Product, Sales, Finance, People, and technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical, problem-solving, and experimental mindset; comfortable testing new approaches and iterating based on data and outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and presentation skills with both internal leaders and external partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable operating in ambiguity, balancing innovation with operational rigor, and driving accountability across large, complex organizations.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt; This is a highly visible, high-impact role at the center of a large, fast-growing global organization. You’ll have the opportunity to shape the strategic direction of the organization, work directly with a founder-SVP, and drive initiatives that fundamentally improve the effectiveness and scale of the business. This is a career-defining opportunity for a strategic leader who wants to operate at the forefront of organizational growth and transformation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076800002,"name":"Exec Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8548502002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414513002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8548502002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"SLSQ227R703","title":"Lead GTM Enablement \u0026 Scale Architect, Product Enablement","company_name":"Databricks","first_published":"2026-05-26T18:03:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R703\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Lead GTM Enablement \u0026amp;amp; Scale Architect, Product Enablement\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Databricks ships category-defining products across its portfolio - from Data Warehousing and Real-Time Analytics, to Data Engineering, AI and Agents, Business Intelligence and Genie, and Operational Data. This is a founding enablement role. You won\u0026#39;t be inheriting a playbook - you\u0026#39;ll be writing it. You will own the end-to-end enablement strategy that takes a Databricks product area from early adoption to something every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between the Product team and a global field of SAs and Partner Technical Sales - translating product capabilities into customer outcomes, and representing the field-readiness voice in Product forums where the story is unclear, where SAs stumble on positioning, where the demo surface needs to tighten before it reaches the field.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the global GTM and enablement strategy for your Databricks product area for Field Engineering and Partner Technical Sales - from foundational knowledge through advanced competitive positioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive a \u0026#39;builder-first\u0026#39; SA culture by architecting scalable demo environments and POC repositories designed for forking, rapid customization, and deep technical proof-of-concept delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner directly with Product and Engineering leadership to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what\u0026#39;s not working and the data to back it up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design the competitive narrative architecture and build the \u0026quot;why Databricks\u0026quot; story that gives an SA confidence walking into a room with a customer executive.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation immediately\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build AI-powered tools that make the field smarter: agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and track KPIs that measure field readiness, and whether SAs are actually winning more deals in your product area\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you\u0026#39;ve defended the position in front of a customer executive, not just written it down\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take a step back, think strategically and innovate your approaches to keep up with the fast paced environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ve been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier, not a novelty\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to build enablement programs from scratch (0-to-1), not just iterate on existing content. You see a blank page as an opportunity, not a problem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product instinct: you can look at a feature roadmap and immediately see how it maps to customer use cases and competitive differentiation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The backbone to tell Product \u0026quot;the field can\u0026#39;t sell this because X\u0026quot; - backed by data and field evidence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scaling mindset: everything you build needs to work for a global field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication skills - you can make complex technical concepts accessible to a broad technical audience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a high-growth infrastructure company during a major product launch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in both pre-sales and post-sales technical roles - you\u0026#39;ve lived the full customer lifecycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with Databricks or competitive platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ve already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$196,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$269,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$185,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$254,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$174,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$239,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4077535002,"name":"Field Engineering - Enablement","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8403943002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6355060002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8403943002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ227R147","title":"Lead Solutions Architect (Digital Natives Business)","company_name":"Databricks","first_published":"2026-02-17T04:57:31-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID:\u0026lt;/strong\u0026gt; FEQ227R147\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; London, UK\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter:\u0026lt;/strong\u0026gt; Dina Hussain\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In the UK\u0026amp;amp;I \u0026lt;strong\u0026gt;Digital Natives Hunting\u0026lt;/strong\u0026gt; territory, we move at the speed of the most innovative companies in the world. We don\u0026#39;t just sell software; we partner with technical founders, CTOs, and VPs of Engineering at high-growth startups to build the future of AI. You will be an essential part of this mission, using your executive-level technical credibility and \u0026quot;Hunter\u0026quot; mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reporting to Manager, Field Engineering\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Evangelism \u0026amp;amp; Thought Leadership:\u0026lt;/strong\u0026gt; Act as a Technical Advisor, building peer-to-peer relationships with CTOs, VPs of Engineering, and technical founders at high-growth DNBs. You will win technical mindshare in \u0026quot;first meetings\u0026quot; by articulating a vision for Data + AI that aligns with their rapid innovation cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive New Logo Motion:\u0026lt;/strong\u0026gt; Execute the high-velocity \u0026quot;Hunter DNA\u0026quot;—obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard-to-win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ecosystem Building:\u0026lt;/strong\u0026gt; Drive awareness within the UK startup and VC ecosystem. You will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of \u0026quot;unicorns.\u0026quot;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Technical Discovery:\u0026lt;/strong\u0026gt; Move beyond traditional \u0026quot;hands-on\u0026quot; SA work to focus on high-level architecture and strategic road-mapping. You will bridge complex business requirements with technical solutions, ensuring that the Databricks Intelligence platform is seen as a strategic enabler of a startup\u0026#39;s core product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Regional Mentorship:\u0026lt;/strong\u0026gt; Be a role model and mentor for the wider Field Engineering team, specifically coaching Solutions Architects on how to engage effectively with CxOs and navigate the unique demands of the digital-native segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Community Engagement:\u0026lt;/strong\u0026gt; Develop high-impact, customer-facing collateral, and lead technical seminars or meet-ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Startup Leadership \u0026amp;amp; Scaling Experience: \u0026lt;/strong\u0026gt;10+ years of professional experience, including significant time spent as a tech co-founder, Head of Engineering, VP-level leader, or high-impact technical contributor within high-growth startups. We value the \u0026quot;in the trenches\u0026quot; experience of scaling a business and technical stack from the ground up. While you possess the credibility to engage with senior founders, you maintain a hands-on technical edge and aren\u0026#39;t afraid to dive into the architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Presence:\u0026lt;/strong\u0026gt; Proven ability to influence and win trust with senior technical stakeholders and C-level executives in innovative, fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Depth with an Evangelist Spike:\u0026lt;/strong\u0026gt; Strong technical background (8+ years) in Operational Databases, Data Engineering, Data Science, or AI, but with a primary skillset focused on technical evangelism, storytelling, and high-level architectural vision rather than tactical delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Database and Real-Time Data Architecture: \u0026lt;/strong\u0026gt;Experience with modern operational database architectures (OLTP) and building scalable, data-driven applications, including connecting transactional systems with analytical platforms to support real-time analytics, AI/agent workloads, and operational applications.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Startup Ecosystem Knowledge:\u0026lt;/strong\u0026gt; 5+ years of deep familiarity with the startup and VC landscape. You know who the key players are and how to navigate the network of investors, accelerators, and founders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High Velocity Mindset:\u0026lt;/strong\u0026gt; Experience working with early-stage, high-growth digital natives where speed, agility, and \u0026quot;Time to Value\u0026quot; are prioritized over traditional enterprise sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Problem-Solving Agility:\u0026lt;/strong\u0026gt; Ability to innovate technical solutions for specialized customer needs and navigate a competitive landscape where prospects may already be using \u0026quot;greenfield\u0026quot; or bleeding-edge tech stacks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication Excellence:\u0026lt;/strong\u0026gt; Exceptional ability to articulate complex technical concepts to both highly technical audiences and business decision-makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;PostgreSQL-compatible systems\u0026lt;/strong\u0026gt; and architectures enabling low-latency feature and application data serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience migrating or modernising \u0026lt;strong\u0026gt;operational databases\u0026lt;/strong\u0026gt; (e.g. Aurora/ RDS/ PostgreSQL) toward Lakehouse integrated architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in articulating the strategic and commercial value of \u0026lt;strong\u0026gt;Generative AI\u0026lt;/strong\u0026gt;, including Large Language Models (LLMs), RAG architectures, and the shift toward \u0026lt;strong\u0026gt;Compound AI Systems\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the latest advancements in \u0026lt;strong\u0026gt;Agentic Workflows\u0026lt;/strong\u0026gt;, model fine-tuning (Mosaic AI), and efficient inference at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Established presence in the \u0026lt;strong\u0026gt;technical community\u0026lt;/strong\u0026gt; (e.g., high-impact blog, regular public speaking at major conferences like Data+AI Summit, AWS re:Invent, or significant open-source contributions).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437022002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370200002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437022002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ427R117","title":"Lead Solutions Architect, Financial Services","company_name":"Databricks","first_published":"2026-06-22T21:30:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 14px;\u0026quot;\u0026gt;Req ID: FEQ427R117\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 14px;\u0026quot;\u0026gt;At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In \u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 14px;\u0026quot;\u0026gt;Japan Financial Services\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 14px;\u0026quot;\u0026gt;, we help leading banks, insurers, securities firms, payment providers, and asset managers turn data into a strategic asset – improving customer experience, strengthening risk management, and driving profitable growth.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be the senior technical leader for a set of strategic FSI accounts in Japan, using your executive‑level technical credibility and Financial Services expertise to shape and execute their data and AI strategy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Reporting to:\u0026lt;/strong\u0026gt; Manager, Field Engineering – Financial Services, Japan\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own technical strategy\u0026lt;/strong\u0026gt; for key FSI customers in Japan, defining the target architecture and roadmap for their Databricks lakehouse and AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead high‑impact evaluations and designs\u0026lt;/strong\u0026gt; for priority FSI use cases (e.g., fraud/AML, risk, regulatory reporting, SIEM, Hyper Personalization, trading and investment analytics).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Connect architecture to outcomes\u0026lt;/strong\u0026gt;, showing how Databricks reduces risk, improves efficiency, and unlocks new revenue, then using those wins to drive broader expansion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape the ecosystem\u0026lt;/strong\u0026gt;, working closely with cloud providers, global/local SIs, and fintech partners to deliver end‑to‑end solutions on Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the bar regionally\u0026lt;/strong\u0026gt;, mentoring other Solutions Architects and contributing reusable reference architectures, patterns, and customer stories for Japan FSI.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;10+ years\u0026lt;/strong\u0026gt; in data platforms, analytics, or cloud architecture, including \u0026lt;strong\u0026gt;6+ years\u0026lt;/strong\u0026gt; working with large Financial Services institutions in Japan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to \u0026lt;strong\u0026gt;influence C‑level and director‑level stakeholders\u0026lt;/strong\u0026gt; (CIO, CDO, CRO, heads of data/AI) and lead high‑stakes technical discussions in Japanese.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep hands‑on background in at least one area: \u0026lt;strong\u0026gt;Data Engineering, Data Warehousing/Analytics, AI/ML, or Cloud Architecture\u0026lt;/strong\u0026gt;, with a strong architecture / platform focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing data and analytics solutions for \u0026lt;strong\u0026gt;FSI use cases\u0026lt;/strong\u0026gt; (e.g., risk, fraud/AML, regulatory reporting, SIEM, customer analytics, or trading/investment).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;Japan FSI landscape\u0026lt;/strong\u0026gt;, including typical organization structures, how decisions are made, and the role of SIs and cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding \u0026lt;strong\u0026gt;communication and storytelling skills\u0026lt;/strong\u0026gt;, able to explain complex architectures to both technical teams and senior business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Language:\u0026lt;/strong\u0026gt; Native‑level Japanese and business‑level English.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you’re excited about helping Japan’s Financial Services use data and AI to deliver better outcomes – while setting the technical bar for our GTM in Japan – we’d love to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7642125002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6005882002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":7642125002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"FEQ126R19","title":"Lead Solutions Architect  - Strategic Customers","company_name":"Databricks","first_published":"2025-08-03T08:28:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID: FEQ126R19\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: London\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Industry Sector: All verticals - Strategic Customers\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Opportunity: Shaping The Future of Data \u0026amp;amp; AI With Our Largest Customers\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Data \u0026amp;amp; AI are the engine driving transformation across our customer base. We are seeking a\u0026amp;nbsp;\u0026lt;strong\u0026gt;strategic technical leader\u0026lt;/strong\u0026gt; to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK \u0026amp;amp; Ireland.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an\u0026amp;nbsp;\u0026lt;strong\u0026gt;expert in driving organisational transformation through technology, data and AI\u0026lt;/strong\u0026gt;. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will demonstrate our \u0026lt;strong\u0026gt;builder culture\u0026lt;/strong\u0026gt; to the highest standards. At Databricks, we believe in “show, not tell”, and you will leverage the latest in Data \u0026amp;amp; AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data \u0026amp;amp; AI across their organisations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will act as a \u0026lt;strong\u0026gt;peer leader\u0026lt;/strong\u0026gt; for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why You’ll Love This Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Influence:\u0026lt;/strong\u0026gt; You will move beyond pure technology to shape long-term data strategies for complex, enterprise-scale organisations operating at the cutting edge of Data \u0026amp;amp; AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Independent Ownership \u0026amp;amp; Execution:\u0026lt;/strong\u0026gt; As a Lead Solutions Architect, you will be encouraged to define your own approach to hitting our organisational goals, supported by our UKI leadership teams and extensive support functions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High Velocity \u0026amp;amp; Growth: \u0026lt;/strong\u0026gt;Databricks grew by over 65% across the last financial year and we have no intention of slowing down. Our product portfolio continues to expand and innovate, enabling you to bring a high-velocity reality to some of the UK \u0026amp;amp; Ireland’s most recognisable brands and to evolve your own skills along the way.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;How You Will Make an Impact\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Trusted Advisory:\u0026lt;/strong\u0026gt; You will build authentic partnerships with stakeholders—from developers to C-suite executives—helping them understand the vision of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Planning:\u0026lt;/strong\u0026gt; Partner closely with Account Executives \u0026amp;amp; UKI Leadership to design engagement strategies that address the specific needs of our largest customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Team Coaching:\u0026lt;/strong\u0026gt; Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ecosystem Integration:\u0026lt;/strong\u0026gt; Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Thought Leadership:\u0026lt;/strong\u0026gt; Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Are Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise Architecture:\u0026lt;/strong\u0026gt; Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data \u0026amp;amp; AI strategy and implementation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial Awareness: \u0026lt;/strong\u0026gt;Deep appreciation of customer and vendor commercial motivations and sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market Familiarity: \u0026lt;/strong\u0026gt;Understanding and experience of key Data \u0026amp;amp; AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Builder Mentality: \u0026lt;/strong\u0026gt;A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Expertise:\u0026lt;/strong\u0026gt; Deep experience in core data \u0026amp;amp; AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration:\u0026lt;/strong\u0026gt; You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Travel:\u0026lt;/strong\u0026gt; This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8223331002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6258914002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Legal"],"value_type":"multi_select"}],"id":8223331002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"GAQ127R55","title":"Legal Counsel, Commercial ","company_name":"Databricks","first_published":"2025-10-28T21:08:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ127R55\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; We\u0026#39;re looking to hire for this role in our Singapore, SG office. This will be a hybrid role with in-office expectations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for an experienced commercial attorney to join our growing commercial legal team focused on supporting our Asia field teams and providing ad hoc support to GTM and bespoke new-market entry support in the region (as needed). You will be a key player in reviewing and negotiating customer agreements and providing legal support for Databricks\u0026#39; revenue-generating and commercialization activities across Asia. You will report to the Sr. Director \u0026amp;amp; AGC, Commercial Legal.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You have 6+ years of relevant commercial legal transactional experience with a focus on complex technology transactions within the Asia market. You possess meaningful experience negotiating SaaS commercial transactions and strong knowledge of legal issues related to data privacy, information security, artificial intelligence, and intellectual property.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Revenue Enabler:\u0026lt;/strong\u0026gt; Become a vital member of the commercial legal team responsible for negotiating enterprise-level cloud service agreements. You will ensure that risk oversight is effectively integrated and balanced with Databricks’ ambitious business objectives, in further enabling continued rapid revenue growth in the region.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Partner:\u0026lt;/strong\u0026gt; Cultivate strong relationships with the field sales team by providing sound, strategic counsel to close complex sales transactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Policy Architect:\u0026lt;/strong\u0026gt; Help maintain and update our legal templates to ensure compliance with evolving provincial and federal laws while supporting global consistency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Subject Matter Expert:\u0026lt;/strong\u0026gt; Serve as a pragmatic business partner, providing legal counsel on Databricks’ technology, product portfolio, and security/compliance architecture, especially as they relate to local compliance standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaborator:\u0026lt;/strong\u0026gt; Partner and work closely with Finance, Information Security, and Product teams to align and enforce global contracting processes and policies within the context of local business norms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; Minimum of four (6) years of technology transactions experience, either at a top-tier law firm and/or in an in-house role at a high-growth SaaS company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Asia Market Expertise:\u0026lt;/strong\u0026gt; Demonstrated experience drafting and negotiating cloud software sell-side transactions successfully with enterprise companies across Asia, including a deep understanding of data privacy, public sector, and data sovereignty requirements across the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise Software Business Model:\u0026lt;/strong\u0026gt; Relevant experience with cloud-based software, consumption, and commit-based business models, and the nuances of the quarterly/fiscal year sales cadence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Negotiation Skills:\u0026lt;/strong\u0026gt; Proven ability to successfully navigate, objection handle complex legal issues involving information security, AI, and intellectual property (including open-source software).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agility:\u0026lt;/strong\u0026gt; Ability to prioritize competing demands and remain responsive in a fast-paced, high-pressure environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication:\u0026lt;/strong\u0026gt; Outstanding written and verbal communication skills; foreign language fluency is considered a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education \u0026amp;amp; Qualifications:\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;LL.B. or J.D.\u0026lt;/strong\u0026gt; from a recognized law school, qualified to practice law in SG.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8564394002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6420900002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Legal"],"value_type":"multi_select"}],"id":8564394002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"P-1560","title":"Legal Counsel, EMEA Commercial","company_name":"Databricks","first_published":"2026-05-26T09:49:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Databricks — the global leader in data and AI — is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI — partnering with sales teams to enable some of the world\u0026#39;s most innovative organisations to build on the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Director \u0026amp;amp; Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping the business to improve processes and scale at pace.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world\u0026#39;s leading data and AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks\u0026#39; risk position is protected and internal compliance requirements are met;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Supporting the end-to-end contract management lifecycle, providing practical, commercially-minded advice to sales and professional services teams on contractual risks and commercial matters;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Providing support and enablement to sales teams on key contractual requirements, best practices and contract management;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing a strong understanding of Databricks\u0026#39; internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks\u0026#39; lines of business;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building your understanding of Databricks\u0026#39; commercial offerings to support sales teams (and customers where needed) during negotiations;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Applying critical thinking and problem-solving skills to propose business solutions which can meet the business\u0026#39; and customers\u0026#39; needs;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cultivating strong cross-functional relationships with key stakeholders to support the Company\u0026#39;s go-to-market efforts across EMEA; \u0026amp;amp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Requirements for the role:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree (or equivalent);\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Qualified lawyer (or equivalent), with approximately 3 years\u0026#39; PQE;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience gained in-house at a leading SaaS company (or in private practice supporting one) with a regular/quarterly sales cycle;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid experience negotiating MSAs, NDAs, Order Forms and legal amendments with enterprise customers;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with, or willingness to quickly learn, large CRM systems (like Salesforce) and contract management systems (like Ironclad);\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A genuine willingness to test and adopt AI tools to improve the efficiency and quality of legal work — this is a must, not a nice-to-have;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to manage and prioritise time and business needs in the face of competing demands;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with sales teams;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A real appetite for the challenge of supporting a world-leading data and AI company operating at hyper-growth scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8545248002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6413189002,"location":{"name":"Madrid; Milan, Italy; Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Italy S.r.l","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8545248002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R106","title":"Manager, Delivery Solutions Architects","company_name":"Databricks","first_published":"2026-05-13T09:52:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;(CSQ327R106)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a DSA Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, FDE and Partners teams in the Southern Europe, Israel, Middle-East and Africa (SEMEA, France excluded) region to shape the post-sales delivery strategy for our major customers and will report to the SEMEA SSA \u0026amp;amp; DSA leader.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;DSAs are collaborating with sales and field engineering teams to drive our customers\u0026#39; adoption and growth. They are guiding complex customers to maximize platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth, with technical expertise across all Databricks products. They are engaged at all organizational levels to drive the adoption.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your role will have 3 main pillars:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;People\u0026lt;/strong\u0026gt;: Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business\u0026lt;/strong\u0026gt;: You will contribute to the growth of the region and to the investment/co-investment positioning of your team with our customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership: \u0026lt;/strong\u0026gt;You will be the technical sponsor and thought leader for a number of selected customers.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice to and improve effectiveness and consistency in working with customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead by example using our AI tooling to deliver C-level thought leadership discussions with our customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assign accounts and distribute work across individuals for optimal customer coverage and team balance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Sales, pre Sales and FDE teams to accelerate growth of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with teams to reduce customer risk and help your team with escalations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead team activities to monitor customer progress and forecast growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide input to grow and improve internal processes and customer success service offerings\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote cross-functional programs, plans, documentation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in a customer-facing role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading a team of pre or post-sale consultants/solution architects, technical account managers or customer success engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Cloud, Data, AI domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in putting workloads or data products into production and running them, e.g. in a delivery architect, project manager, DevOps, or service/product owner role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversant with business issues our customers face today and likely big data use cases in different industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent in Italian and English. Additional language skills in the region will be advantageous.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Based in Milan, Paris or Madrid, in commutable distance to the office location in all 3 countries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed \u0026lt;a href=\u0026quot;https://drive.google.com/open?id=154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Italy Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;€134.400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;€184.800 EUR\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4018698002,"name":"Remote - Italy","location":"Remote - Italy","child_ids":[],"parent_id":4122256002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567320002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6421952002,"location":{"name":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8567320002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ327R105","title":"Manager, Delivery Solutions Architects - Digital Native Business","company_name":"Databricks","first_published":"2026-06-08T15:15:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As a Delivery Solutions Architect (DSA) Manager supporting our Digital Native Business (DNB) segment, you will build, lead, and inspire a team of DSAs who help our most innovative, fast-growing customers accelerate their journey from idea to production on the Databricks Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your team will focus on accelerating use case onboarding, enabling production workloads, and driving success in production, ensuring every customer achieves measurable outcomes and business value. You will set strategy, coach technical excellence, and ensure your team remains at the forefront of modern Data and AI architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Director of Delivery Solutions Architecture for the Digital Native Business Unit.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding DNB customers to production success across a wide range of Data, AI, and ML workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain Technical Excellence: Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a Thought Leader and Sponsor: Serve as the technical sponsor for select DNB accounts, engaging tech leads and executives to shape customer success strategy at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the DSA Practice: Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar roles with a focus on Data and AI), including 3+ years leading technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in cloud-based Lakehouse architectures, specifically in guiding customers through migrations and modernization, leveraging cloud-native architectural principles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record in accelerating workloads to production and enabling sustained success on cloud-native platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of and ability to guide complex architectural discussions related to distributed data systems and cloud-native platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in SQL, an Object-Oriented Programming Language (preference for Python, SQL, or Scala), code reviews, and architecture design sessions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in Data and AI domains, such as Analytics, Data Warehousing, ETL, Streaming, and/or ML/AI productionization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to manage escalations, forecast usage growth, and operationalize customer success programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and executive presence; trusted advisor to technical leaders and C-level stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel up to 30% as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$197,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,975 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8565280002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6421272002,"location":{"name":"Georgia; Illinois; New York; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8565280002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ327R104","title":"Manager, Delivery Solutions Architects - Financial Services","company_name":"Databricks","first_published":"2026-05-27T15:36:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;CSQ327R104\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks\u0026#39; largest Financial Services customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio anchor a strategic vertical for Databricks, and your team\u0026#39;s work directly determines how quickly Data and AI transforms how they do business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a DSA Manager you set the technical strategy across your portfolio, decide where to invest your team\u0026#39;s capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production. You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own capacity planning and investment forecasting across the FINS portfolio. Defend investment decisions with data, alongside sales and field leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive measurable customer outcomes: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape and promote the value proposition of the DSA role with our internal partners and our customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership of a team of pre-sales or post-sales technical talent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of putting data and AI workloads into production at scale, e.g., as a delivery architect, project manager, DevOps engineer, or service or product owner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversant with the business problems and Data and AI use cases in financial services (banking, capital markets, insurance, or asset management preferred).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A bias for building systems, not just running them. A bias for growing people, not just managing them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$197,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,975 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8563185002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6420318002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8563185002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R107","title":"Manager, Delivery Solutions Architects - Toronto, ON","company_name":"Databricks","first_published":"2026-06-12T02:50:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID - CSQ427R107\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Impact You Will Have\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hire, coach, and grow a team of Delivery\u0026amp;nbsp; Solutions Architects for a company in high-growth mode\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in-line with\u0026amp;nbsp; the other field functions while consistently exceeding their certification goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assign accounts and distribute work across individuals for optimal customer coverage and team balance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build relationships and partner with Sales, pre Sales and professional services teams to accelerate growth of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead team activities to monitor customer progress and forecast growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a robust hiring pipeline at all times\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What We Look For\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of successful experience in a customer facing role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives that guide strategic data project delivery decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for architecture discussions, use case\u0026amp;nbsp; Go-Lives, creating project and execution plans and customer growth strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversant with business issues our customers face today and likely big data use cases in different industries\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$254,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$340,000 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8176503002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6229114002,"location":{"name":"Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8176503002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ226R533","title":"Manager, Engineering - AI/BI","company_name":"Databricks","first_published":"2025-09-18T23:59:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ226R533\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report directly to the Senior Manager of Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The main responsibilities include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will oversee sustained recruitment of top-tier talent, and developing talent on the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build processes to implement product vision and strategy, according to organizational goals and priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build software that is not just high quality, but easy to operate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Great at hiring and developing talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at creating efficient processes that increase velocity and quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in managing teams that build and operate systems in a SaaS environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience in scaling engineering teams from 5 to 20+\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Team player that will work with other departments (PM, CS) and engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS or higher in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of attracting, hiring, and retaining top engineering talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing distributed teams across multiple locations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adaptability and resilience in a fast-paced, rapidly evolving tech environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$171,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$227,500 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4011975002,"name":"Vancouver, Canada","location":"Vancouver, Canada","child_ids":[],"parent_id":4056353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438779002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370930002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8438779002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ327R115","title":"Manager, Field Engineering","company_name":"Databricks","first_published":"2026-03-15T14:31:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R115\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;As a Manager, Field Engineering (Data \u0026amp;amp; AI), you will lead a team of Solutions Architects focusing on large \u0026amp;amp; strategic customers in India. You will help lead our team in India expansion, you will build and lead a technical pre-sales team. You will guide and get involved to enhance your team\u0026#39;s effectiveness; be an expert at positioning and articulating business-value-focused solutions to our customers and prospects; whilst coaching new sales and pre-sales team members to work together, support various stages of the sales cycles; and build relationships with key stakeholders in large corporations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage hiring, building the Pre-Sales team consisting of Solutions Architects in the Data \u0026amp;amp; AI domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rapidly scale the designated Field Engineering segment organisation without sacrificing calibre.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team. To embody and promote Databricks\u0026#39; customer-obsessed, teamwork and diverse culture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution and value-based selling field-engineering organisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach and mentor the Solutions Architect team to understand our customers’ business needs and identify revenue potential in their accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interface with leadership \u0026amp;amp; C-suite stakeholders at strategic customers in the assigned region to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Databricks\u0026#39; brand in India in partnership with the Marketing and Sales team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in a pre-sales / consulting / customer facing managerial role: developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in scaling and mentoring field and technical teams managing both in-person and remote working models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in Apache Spark™ / Databricks ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8557075002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6418013002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8557075002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ227R90","title":"Manager, Field Engineering - Financial Services Industry","company_name":"Databricks","first_published":"2026-06-02T01:08:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID - FEQ227R90\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.\u0026amp;nbsp; Major Enterprises in Canada are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale.\u0026amp;nbsp; Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks’ Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments)\u0026amp;nbsp; to increase revenue and help customers become wildly successful. You\u0026#39;ll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks\u0026#39; growth in the market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will hire, train, grow and manage a team of Solutions Architects for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make your customers extremely successful with Databricks and provide outsized value to their businesses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will maintain a robust hiring pipeline at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales leadership to hit sales and consumption targets and ensure customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre- and post-sales professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A deep technical understanding of the impact which Data \u0026amp;amp; AI can drive within\u0026amp;nbsp; various industry segments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives that guide strategic data infrastructure decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring candidates, ramping them up to be successful, and promoting into larger roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with other teams such as Sales, Product Management, Engineering, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must be technical enough to earn the trust of Engineering talent and leadership Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers towards ideal solutions that scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$178,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$244,850 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4013297002,"name":"Toronto, Canada","location":"Toronto, Canada","child_ids":[],"parent_id":4033854002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8491126002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6391710002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8491126002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ227R207","title":"Manager, Field Engineering France","company_name":"Databricks","first_published":"2026-04-09T14:12:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ227R207\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Engineering Manager, you will lead a talented team of technical pre-sales Solutions Architects and Solutions Engineers based in France. You’ll play a key leadership role at the intersection of technology and business, helping our teams design value-based solutions and drive growth through effective collaboration with Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll coach your team to communicate complex ideas clearly, support strategic sales cycles, and build strong partnerships with customers and stakeholders across large organisations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and develop a high-performing pre-sales team in France.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Sales to drive growth through solution- and value-based selling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trusted relationships with customer executives and strategic partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across teams—including Marketing, Sales, and Services—to ensure seamless implementation and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in the market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing technical teams in Big Data, Cloud, or SaaS environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of leading, mentoring, and scaling pre-sales or technical field organisations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of consumption-based business models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate effectively with Sales and other cross-functional leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and interpersonal skills—fluent in English and native-level French.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical background in Data Engineering, Databases, or Data Science (consulting experience is a plus).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for data, AI, and cloud technologies and the ability to articulate their business value clearly.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Note: Location for the role is in Paris (i.e. within commutable distance).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8517065002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6402184002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8517065002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ327R159","title":"Manager, Field Engineering France  - Specialist Solutions Architects","company_name":"Databricks","first_published":"2026-04-24T07:18:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R159\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Field Engineering Manager - Specialist Solutions Architects France\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team\u0026#39;s effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Senior Manager, Field Engineering (Specialist).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed your region\u0026#39;s consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make your customers extremely successful with Databricks and provide outsized value to their businesses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in leading technical overlay customer-facing teams (team sizes greater than 8), preferably in a pre-sales organisation leading technical engagements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives that guide strategic data infrastructure decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Team player, but able to challenge and define priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-starter, challenger, strategic planner \u0026amp;amp; analytical thinker\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with other teams such as Sales, Product Management, and Professional Services\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8374096002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6343384002,"location":{"name":"Milan, Italy"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Italy S.r.l","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8374096002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"FEQ427R185","title":"Manager, Field Engineering Italy","company_name":"Databricks","first_published":"2026-01-19T07:21:02-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ427R185\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Note: Location for the role is in Milan (i.e. within commutable distance).\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Italy. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;You will guide and get involved to enhance your team\u0026#39;s effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire, mentor and grow the pre-sales team in Italy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increased return on investment of SA involvement in sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure a solution and value-based selling within the field-engineering organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of needs and revenue potential for accounts in the assigned region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with key customer executives to build and strengthen strategic partnerships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure close alignment with partners and internal services to secure implementation strategies within accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continue to build Databricks\u0026#39; brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing a team of successful Big Data, Cloud, or SaaS professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in consumption based business environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience mentoring and scaling technical teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success in instituting processes for technical field members to lead efficiency and product focus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to partner and collaborate with Sales and other cross-functional leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical or consulting background either in Data Engineering, Database technologies or Data Science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills. Italian native-speaker and fluent in English.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed \u0026lt;a href=\u0026quot;https://drive.google.com/open?id=154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Italy Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;€107.600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;€147.875 EUR\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4018698002,"name":"Remote - Italy","location":"Remote - Italy","child_ids":[],"parent_id":4122256002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8612964002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439945002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8612964002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R483","title":"Manager, Field Engineering - MFG","company_name":"Databricks","first_published":"2026-07-02T01:51:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;REQ ID - FEQ327R483\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location(s): Central US (Texas, Illinois, St. Louis)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.\u0026amp;nbsp; Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale.\u0026amp;nbsp; Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You\u0026#39;ll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make your customers extremely successful with Databricks and provide outsized value to their businesses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will maintain a robust hiring pipeline at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales leadership to hit sales and consumption targets while ensuring customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A deep technical understanding of the impact that Data + AI can drive within various industry segments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical competence to earn the trust of Engineering talent and leadership at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives who guide strategic data infrastructure decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with other teams such as Product Management, Engineering, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$172,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$237,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056369002,"name":"Remote - Illinois","location":"Remote - Illinois","child_ids":[],"parent_id":4056368002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8458032002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6378576002,"location":{"name":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8458032002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ327R116","title":"Manager, Field Engineering - Strategic Digital Native Business","company_name":"Databricks","first_published":"2026-04-03T16:00:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers\u0026#39; workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers.\u0026amp;nbsp; You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adapt the SA team\u0026#39;s skills and engagement model to match the needs of Digital native customers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customer sites for executive sessions, technical workshops, and building relationships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current with emerging Data and AI trends in the digital native tech sector\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A history of building a territory, growing strategic accounts, and exceeding targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspiring a team vision about the unique nature of the digital natives business\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A history of execution by managing workloads and consumption with sales, product, and engineering counterparts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience owning executive alignment in accounts that guide strategic decisions\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$172,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$237,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8629997002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6446645002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8629997002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R211","title":"Manager, Forward Deployed Engineering","company_name":"Databricks","first_published":"2026-07-14T23:18:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;CSQ427R211\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As \u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering \u0026lt;/strong\u0026gt;for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA \u0026amp;amp; AI Engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8445817002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6373872002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8445817002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R50","title":"Manager, Forward Deployed Engineering","company_name":"Databricks","first_published":"2026-03-03T20:21:53-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R50\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As \u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering \u0026lt;/strong\u0026gt;for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA \u0026amp;amp; AI Engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8613192002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440030002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8613192002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"CSQ427R209","title":"Manager, Forward Deployed Engineering","company_name":"Databricks","first_published":"2026-07-02T04:52:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID: CSQ427R209\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As \u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering\u0026lt;/strong\u0026gt;, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel to customer sites and Databricks offices approximately 20% of the time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585019002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429070002,"location":{"name":"Remote - Washington D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8585019002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ227R53","title":"Manager, Forward Deployed Engineering - CMEG","company_name":"Databricks","first_published":"2026-06-23T09:33:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ227R53\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As \u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering\u0026lt;/strong\u0026gt;, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise customers across Communications, Media, Entertainment \u0026amp;amp; Gaming (CMEG), you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel to customer sites and Databricks offices approximately 20% of the time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$211,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$291,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056375002,"name":"Remote - Washington D.C.","location":"Remote - Washington D.C.","child_ids":[],"parent_id":4033536002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585023002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429072002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8585023002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ227R79","title":"Manager, Forward Deployed Engineering - Manufacturing","company_name":"Databricks","first_published":"2026-06-23T09:28:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ227R79\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As \u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering\u0026lt;/strong\u0026gt;, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise customers across Manufacturing, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel to customer sites and Databricks offices approximately 20% of the time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$211,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$291,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8629163002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6446243002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8629163002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R212","title":"Manager, Forward Deployed Engineering - Public Sector","company_name":"Databricks","first_published":"2026-07-13T08:23:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE: \u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations, an active U.S. government security clearance is required. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;CSQ427R212\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As \u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering\u0026lt;/strong\u0026gt;, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise customers across Public Sector, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Public Sector, Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel to customer sites and Databricks offices approximately 20% of the time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$211,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$291,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8482368002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6388158002,"location":{"name":"Bengaluru, India; Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8482368002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ227R598","title":"Manager, Partner Strategy \u0026 Operations ","company_name":"Databricks","first_published":"2026-04-03T00:26:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R598\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Partner Strategy \u0026amp;amp; Operations team supports Databricks\u0026#39; robust ecosystem of Cloud, SI and ISV, working with the Databricks Partnerships team. Our team is laser focused on driving operational scale in an extremely high-growth environment. We empower our stakeholders and senior leadership with the insights, tools and decision criteria to inform proactive, effective, and data-driven programmatic strategies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be in a critical and visible position, playing a key role in scaling the APJ Partnerships team\u0026#39;s GTM strategy. In this role, you will combine analytical insight, strong business acumen, and robust cross-functional partnerships with leaders across the company while partnering with our senior APJ Partnerships leaders to set a strategy and medium/long term goals for the business. You will then lead the execution of many of these initiatives, building scalable processes, building consensus, and supporting all of it with proactive data-driven insights and analysis along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Make the leaders of the APJ partnerships team more efficient and effective through a data driven approach to decision making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create quarterly and annual OKRs, reporting, forecasting, SQL analytics, BI reporting and dashboard development, territory planning, and quota/productivity modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support and run pipeline/forecast calls, team calls and quarterly business reviews\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct ROI analysis to evaluate the effectiveness of incentive programs and partner initiatives, making data-driven recommendations for improvement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay up-to-date with industry trends, market dynamics, and competitive landscapes across APJ markets, providing insights to enhance sales strategies and maintain a competitive advantage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work cross-functionally and globally with internal stakeholders to resolve issues, understand business and data challenges, identify optimization opportunities and respond to escalation and exception requests\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You love building cross-functional processes at scale and are familiar with automation. You have designed systems and workflows spanning multiple team members and tools to manage projects spanning at least a full year\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are technical and proficient in SQL analytics, BI reporting and dashboard development, and Salesforce reporting. Whether it\u0026#39;s building a quick Salesforce report for the business or analyzing data sets with SQL queries and BI tools, data is a core part of your toolkit, and you apply an analytical mindset to deliver strategic insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You excel in a collaborative environment and have a high degree of honesty, integrity and sound judgment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have a bias for action and want to build something that lasts. Not only do you have the ability and the desire to architect the high level strategy, you want to operationalize it and can dive deep into the details\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have excellent spoken and written communication \u0026amp;amp; presentation skills. You have experience resolving prioritization conflicts, resourcing shortfalls, and timing issues, and can summarize challenges \u0026amp;amp; recommendations succinctly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have 7+ years experience in sales strategy, business development, or channel management. You have experience collaborating with partner sales and field engineering teams at an enterprise technology company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have experience operating across APJ markets. You understand the nuances of partner ecosystems across ANZ, Japan, India, Southeast Asia, and Korea, and can navigate diverse business cultures and go-to-market models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4027391002,"name":"Sales Operations","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604589002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436784002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604589002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R160","title":"Manager, Payroll Accounting","company_name":"Databricks","first_published":"2026-07-01T08:06:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ327R160\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. We are looking for a\u0026lt;strong\u0026gt;\u0026amp;nbsp;Manager, Payroll Accounting\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;margin: 0px; padding: 0px;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;,\u0026lt;/strong\u0026gt; \u0026lt;/span\u0026gt;to lead our payroll accounting team based in India. This is a foundational hire — you will help build the team, define the operating model, and set the standard for how payroll accounting operates at Databricks as we continue to scale\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role blends team leadership with deep technical accounting expertise. As part of the Global Accounting organisation, you will ensure the accurate and timely recording of all payroll-related financial data while partnering closely with PeopleOps, Payroll Operations, Global Accounting, and FP\u0026amp;amp;A to ensure strict compliance with US GAAP, local tax regulations, and internal policies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee the month-end, quarter-end, and year-end payroll accounting close processes, reviewing and approving complex journal entries, accruals, and balance sheet reconciliations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform monthly payroll flux analysis, identifying and clearly articulating drivers behind significant period-over-period movements for leadership and cross-functional stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead payroll accounting across our global entities, with particular focus on high-complexity jurisdictions, including the Netherlands, Brazil, France, Germany, and India — ensuring accurate accounting treatment, local compliance, and timely close across each location.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage complex multi-currency ledger reconciliations, foreign exchange (FX) gain/loss adjustments, and intercompany cross-charges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical accounting oversight for stock-based compensation and complex commission structures, ensuring accurate recording and compliance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own payroll accounting for equity compensation programs, including RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the intercompany general ledger.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary point of contact for internal and external payroll accounting audits. Champion compliance with internal controls (SOX), US GAAP, and multi-jurisdictional payroll tax regulations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our legal team, external consultants, and banking partners to establish new subsidiaries. Collaborate with Corporate Tax and Technical Accounting to set up accounting processes for new global locations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with PeopleOps, AP and Procurement to proactively monitor and audit independent contractor relationships, ensuring accurate general ledger classification and mitigating \u0026quot;disguised employee\u0026quot; risks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive AI and automation adoption across payroll accounting, including AI-assisted reconciliation between payroll registers and the GL, automated variance detection, and leveraging the Databricks Platform to streamline data flow across payroll, equity, and financial systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hire, train, mentor, and manage a team of payroll accountants, fostering a culture of continuous improvement and high performance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15+ years progressive accounting experience, with at least 8+ years specifically in payroll accounting and 4+ years in a supervisory/management role within a US multinational framework\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A Chartered Accountant (CA) or CPA equivalent certification is required. CPP is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity compensation accounting experience required, including for RSUs, stock options, and ESPP — from payroll tax treatment to GL reconciliation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record driving automation and AI adoption in payroll or accounting operations, with hands-on experience implementing tools that reduce manual work and improve accuracy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of US GAAP, multi-jurisdiction tax laws, and SOX compliance. Experience with cloud-based systems (e.g., SAP, Workday, Payslip) is required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience partnering with local accounting teams to file statutory accounts and the flexibility to support remote teams across different geographic areas, including with US-based accounting teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8503068002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6396389002,"location":{"name":"Remote - India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8503068002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"CSQ227R28","title":"Manager, Professional Services","company_name":"Databricks","first_published":"2026-04-13T23:20:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;CSQ227R28\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;As a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Manager (Professional Services)\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;you will hire \u0026amp;amp; manage Big Data Engineers / Architects\u0026lt;/strong\u0026gt; and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in \u0026lt;strong\u0026gt;Bengaluru.\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire great people and provide \u0026lt;strong\u0026gt;technical guidance, career development, and mentoring \u0026lt;/strong\u0026gt;to team members\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in key technical and design discussions with technical leads in the team as a hands-on manager\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience \u0026lt;strong\u0026gt;leading the development of IP, reusable tooling\u0026lt;/strong\u0026gt;, and assets for field professional services teams and partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner with key business stakeholders\u0026lt;/strong\u0026gt; to prioritise work and create amazing products to support our data platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Manage a team of technical data engineers\u0026lt;/strong\u0026gt; to achieve customer, company, and team goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Acts as the first point of escalation for customers\u0026lt;/strong\u0026gt; when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide input to grow and improve internal processes and customer success service offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively builds and leverages customer relationships throughout the sales and delivery process.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;12+ years \u0026lt;/strong\u0026gt;of industry experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;6+ years of successful experience in a customer facing role\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;4+ years of experience\u0026lt;/strong\u0026gt; leading a technical team of \u0026lt;strong\u0026gt;Data Engineers / Architects\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in \u0026lt;strong\u0026gt;Big Data ecosystem \u0026lt;/strong\u0026gt;(Spark, Hadoop ecosystem, Cassandra etc)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of \u0026lt;strong\u0026gt;AWS / Azure / GCP\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of Databricks ecosystem is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven documentation skills, along with strong project management experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong abilities manage multiple engagements\u0026lt;/strong\u0026gt;, while delivering extremely high levels of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent people skills to partner with various key business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversant with business issues our customers face today and likely big data use cases in different industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience estimating effort and scope for services\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Benefits :\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Private medical insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Accident coverage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee\u0026#39;s Provident Fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Paid parental leave\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gym reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual personal development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel insurance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056344002,"name":"Remote - India","location":"Remote - India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407895002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356439002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8407895002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ127R179","title":"Manager - Tech Solutions (Big Data / AI)","company_name":"Databricks","first_published":"2026-02-18T12:27:40-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;CSQ127R179\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Manager (Data \u0026amp;amp; AI) for Technical Solutions Engineering will be responsible for\u0026lt;strong\u0026gt; leading and growing a regional team of Data \u0026amp;amp; AI technical experts in India\u0026lt;/strong\u0026gt;, focused on providing resiliency and smooth operation of customer production workloads.\u0026amp;nbsp; This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.\u0026amp;nbsp; This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.\u0026amp;nbsp; You will be able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the \u0026lt;strong\u0026gt;Tech Solutions Manager\u0026amp;nbsp;for an elite team of Data \u0026amp;amp; AI specialists\u0026lt;/strong\u0026gt; that can provide coverage of customers across EMEA \u0026amp;amp; APJ business hours.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with top customers to understand how to support their business needs with their Data \u0026amp;amp; AI strategy, in collaboration with field engineering and sales when required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with internal product engineering teams to make Databricks products better and more supportable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven people leadership experience: at least 3+ years as a manager\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;12+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data \u0026amp;amp; Cloud experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading teams either in engineering, technical support, or consulting.\u0026amp;nbsp; Support experience is not required - but \u0026lt;strong\u0026gt;customer facing experience is highly desirable\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in at least two of the following at production scale:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Big Data (Spark, Hadoop, Kafka)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Machine Learning / Artificial Intelligence projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science / Streaming use cases\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Spark expertise is a big advantage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in customer-facing support leadership roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent troubleshooting skills across distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s/Master’s in Computer Science or equivalent technical field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8577057002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6425898002,"location":{"name":"Chicago, Illinois; St. Louis, Missouri"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8577057002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ427R330","title":"Named Core Account Executive","company_name":"Databricks","first_published":"2026-06-04T15:35:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R330\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;As an Enterprise Account Executive in Databricks\u0026#39;, you are an enterprise sales professional experienced in selling to Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;You will report to the Director of Enterprise Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;The impact you will have: \u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul style=\u0026quot;  margin-top: 0in; margin-bottom: 0in;\u0026quot; type=\u0026quot;disc\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Present a territory plan within first 90 days\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Close both new accounts and existing accounts\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Build a plan for success internally at Databricks and externally with your accounts.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul style=\u0026quot;  margin-top: 0in; margin-bottom: 0in;\u0026quot; type=\u0026quot;disc\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Field sales experience within big data, Cloud, and SaaS sales\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Understanding of Spark and big data preferable\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056383002,"name":"Remote - Missouri","location":"Remote - Missouri","child_ids":[],"parent_id":4033541002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8463065002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6380479002,"location":{"name":"Remote - Massachusetts; Remote - New York; United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8463065002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ227R438","title":"Named Core Account Executive","company_name":"Databricks","first_published":"2026-04-29T14:19:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R438\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Locations:\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;East Coast\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;As an Named Core Account Executive in Databricks\u0026#39;, you are an enterprise sales professional experienced in selling to Enterprise accounts specifically in the DNB space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;You will report to the Director of Enterprise Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;The impact you will have: \u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul style=\u0026quot;margin-top: 0in; margin-bottom: 0in;\u0026quot; type=\u0026quot;disc\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Present a territory plan within first 90 days\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Close both new accounts and existing accounts\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Build a plan for success internally at Databricks and externally with your accounts.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p style=\u0026quot;margin: 0in; font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul style=\u0026quot;margin-top: 0in; margin-bottom: 0in;\u0026quot; type=\u0026quot;disc\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Field sales experience within big data, Cloud, and SaaS sales\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Understanding of Spark and big data preferable\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;margin-top: 0; margin-bottom: 0; vertical-align: middle;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: Calibri; font-size: 11.0pt;\u0026quot;\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438975002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371021002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8438975002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R58","title":"Named Core Account Executive - DNB","company_name":"Databricks","first_published":"2026-07-17T01:58:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R58\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;As a\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;Digital Native\u0026lt;/span\u0026gt;\u0026amp;nbsp;Account Executive at Databricks, you are passionate about selling to high growth, venture-backed companies.\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;sell to the most technologically advanced companies in the world. You know how to compress decision cycles by\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;penetrating\u0026lt;/span\u0026gt;\u0026amp;nbsp;accounts fast, and demonstrating the value to the customer. You love understanding a product in depth and are passionate about communicating its value to Customers. Always looking for new opportunities,\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;you will\u0026lt;/span\u0026gt; close new accounts while growing existing accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will have\u0026lt;/span\u0026gt;\u0026amp;nbsp;direct influence on the data strategy of the\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-red-solid\u0026quot;\u0026gt;most disruptive\u0026lt;/span\u0026gt;\u0026amp;nbsp;companies today\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;communicate account strategy to Databricks Senior Leadership\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-blue-underline\u0026quot;\u0026gt;on a regular basis\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;allocate Databricks resources to break into new accounts and grow existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet with C-Level Executives to Practitioner level to understand how Databricks\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-red-solid\u0026quot;\u0026gt;can make an impact\u0026lt;/span\u0026gt;\u0026amp;nbsp;on\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;business outcomes\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;use a creative, fail-fast approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Passion for selling a\u0026amp;nbsp;\u0026lt;span class=\u0026quot;editor-module-hl-grey-underline\u0026quot;\u0026gt;highly\u0026lt;/span\u0026gt; technical product in the cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10 - 15 years of overall sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Open Source Technologies and build vs buy \u0026lt;span class=\u0026quot;editor-module-hl-red-solid\u0026quot;\u0026gt;decision-making\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Value Selling Methodologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creative salesperson with a well defined prospecting motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;Proven years experience\u0026lt;/span\u0026gt;\u0026amp;nbsp;exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8610864002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439112002,"location":{"name":"Calgary, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8610864002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R617","title":"Named Core Account Executive - Western Canada","company_name":"Databricks","first_published":"2026-07-09T23:08:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R617\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Named Enterprise Account Executive – Western Canada\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we practice what we preach: we are a fiercely data-driven company that utilizes metrics and insights to drive every aspect of our business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Named Enterprise Account Executive, you will have complete oversight of your assigned accounts, serving as the ultimate owner of end-to-end customer relationships across Western Canada. This role requires deep domain expertise in the Energy, Mining, and Utilities sectors. We hold our sales organization to an exceptionally high standard; you should expect a culture centered on rigorous execution, where customer face-time, pipeline generation, and account activity are prioritized and measured closely.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;End-to-End Account Ownership:\u0026lt;/strong\u0026gt; Act as the strategic quarterback and single point of accountability for your accounts, maintaining full oversight of the complete customer lifecycle and relationship ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High-Velocity Customer Engagement:\u0026lt;/strong\u0026gt; Maintain an elite cadence of customer activity. You will be expected to maximize face-to-face client time and cultivate deep, long-term relationships with CIOs, CDOs, and business leaders (Supply Chain, Finance, Field Operations etc)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-Driven Execution \u0026amp;amp; Pipeline Growth:\u0026lt;/strong\u0026gt; Grounded in our data-driven culture, you will aggressively drive weekly pipeline generation and accelerate use-case progression from POC to production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Account Growth \u0026amp;amp; Strategy:\u0026lt;/strong\u0026gt; Architect comprehensive account plans to systematically expand existing footprints using a disciplined, program-management approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sales Excellence:\u0026lt;/strong\u0026gt; Consistently exceed activity, pipeline, and revenue targets by managing complex, multi-stakeholder sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Precision:\u0026lt;/strong\u0026gt; Maintain pristine CRM hygiene in Salesforce on a weekly basis, accurately forecasting and tracking use-case requirements, business value metrics, and timelines.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High-Intensity Enterprise Sales:\u0026lt;/strong\u0026gt; 7+ years of experience consistently exceeding quotas in a fast-paced, high-velocity enterprise technology environment. You thrive in cultures that demand high activity, strict accountability, and frequent change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Expertise:\u0026lt;/strong\u0026gt; Proven track record selling into Western Canada’s premier Oil \u0026amp;amp; Gas, Utilities, and Mining sectors, backed by an active local network of CIOs and decision-makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Acumen:\u0026lt;/strong\u0026gt; Strong foundational knowledge of data solutions, including Data Warehousing, BI, Analytics, Cloud Infrastructure, Machine Learning, \u0026amp;amp; GenAI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Complex Deal Management:\u0026lt;/strong\u0026gt; Adept at balancing quick wins with long-cycle sales motions while effectively coordinating internal resources (solutions architects, executives, and partners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Bachelor’s Degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4012088002,"name":"Calgary, Canada","location":"Calgary, Canada","child_ids":[],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8507812002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6398634002,"location":{"name":"Remote - Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Denmark ApS","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8507812002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ327R219","title":"Named Enterprise Account Executive","company_name":"Databricks","first_published":"2026-04-20T06:17:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R219\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Want to help solve the world\u0026#39;s toughest problems with data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today\u0026#39;s ultra-competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a creative, delivery-oriented\u0026amp;nbsp;Enterprise Account Executive to join the team in Denmark to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Sales Director for Denmark and Norway.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exstensive experience selling complex solutions to Enterprise Customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in Data, Cloud industries with some technical sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proof of exceeding sales quotas in high-growth Enterprise software companies\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving consumption and commit-based engagement models and strategies working with professional services and training teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of following robust sales methodologies and process (e.g. account planning, MEDDPICC, Value Selling and accurate forecasting)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree or relevant work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in English is required, fluency in Danish is preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4018697002,"name":"Denmark","location":"Denmark","child_ids":[4088148002,4086869002],"parent_id":4000548002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8536432002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6409291002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8536432002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"SLSQ327R41","title":"Named Enterprise Account Executive","company_name":"Databricks","first_published":"2026-05-14T12:14:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R41\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Want to help solve the world\u0026#39;s toughest problems with data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today\u0026#39;s ultra-competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a creative, delivery-oriented\u0026amp;nbsp;Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks Sweden. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team\u0026#39;s growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Sales Director for Sweden and Finland.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exstensive experience selling complex solutions to Enterprise Customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience managing and leading complex, federated sales campaigns in major accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience working in Data, Cloud industries with some technical sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proof of exceeding sales quotas in high-growth Enterprise software companies\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree or relevant work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in English is required\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8643542002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6451993002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Business Development"],"value_type":"multi_select"}],"id":8643542002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"RDQ427R535","title":"Partner Engineer: Partner Intelligence, AI \u0026 Apps","company_name":"Databricks","first_published":"2026-07-22T19:17:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R535\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;At\u0026amp;nbsp;\u0026lt;span class=\u0026quot;Highlight ht5d127218-4823-453b-ad6a-f151a5a3567d\u0026quot;\u0026gt;Databricks\u0026lt;/span\u0026gt;, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About the Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This partner intelligence engineer owns the internal tooling that runs the ISV partner organization: the pipelines, dashboards, Genie spaces, metric views, and the AI applications and workflows we use to operate the partner business. You will build and maintain that stack on Databricks and use the platform heavily, every day. You will also work with the Apps and AI teams as an early user of new features, and with Developer Relations to share what you build. The role is based in San Francisco and reports into Partner Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Impact you will have\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data pipelines and quality: Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner metrics and measurement: Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reporting and self-serve analytics: Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Internal AI apps: Build AI applications and agentic workflows that automate how we run the partner business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner AI platforms: Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and gaps back to the AI and Apps partnerships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Early Databricks adopter and DevRel: Try new Databricks features early (Apps, Genie, metric views, AI/BI, Lakebase, Agent Bricks), give product teams direct feedback, and work with Developer Relations to turn what you build into reusable examples.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Required Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years in data engineering, analytics engineering, or a similar hands-on data or AI role.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Heavy hands-on production experience with Databricks data engineering and analytics tool\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong SQL and Python, with experience building and maintaining production data pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building the analytics layer a team runs on: dashboards, semantic or metric layers, and clear metric definitions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building AI applications or agentic workflows (LLM-powered apps and automations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Regular hands-on use of AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex). You use them in your day-to-day work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communicator who works well in fast-moving, sometimes ambiguous situations.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong propensity for GSD → Gets Stuff Done!\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Depth in Databricks analytics and AI features: Genie, AI/BI, metric views, Lakebase, Agent Bricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;dbt or a similar transformation framework, and modern analytics-engineering practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining business metrics and KPI frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open-source contributions or community work in data and AI.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$101,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$140,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8347880002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6333949002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8347880002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"FEQ127R214","title":" Partner Solutions Architect","company_name":"Databricks","first_published":"2026-01-07T01:28:38-05:00","language":"ja","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ127R214\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Partner Solutions Architect you will work with Databricks\u0026#39; Consulting and System Integrator (C\u0026amp;amp;SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop \u0026#39;technical champions\u0026#39; within our top C\u0026amp;amp;SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C\u0026amp;amp;SI partners. You will report to the Senior Director, APJ PS.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with the partner technical community by leading workshops, seminars, and meet-ups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Show expertise by producing creative technical solutions and blog post\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience demonstrating technical concepts, including presenting and whiteboarding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing architectures within a public cloud (AWS, Azure, or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding experience in SQL, Python, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Written and verbal level fluency in Japanese and English\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Benefits allowance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhanced Parental Leaves\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fitness reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual career development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Home office \u0026amp;amp; work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel accident insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mental wellness resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee referral bonus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439182002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371111002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8439182002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ127R200","title":"Partner Solutions Architect","company_name":"Databricks","first_published":"2026-03-11T01:04:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;SLSQ127R200\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a\u0026lt;strong\u0026gt; Partner Solutions Architect\u0026lt;/strong\u0026gt; (PSA) for India, you will work with the technical and sales team members who work directly with our customers. You will develop \u0026#39;technical champions\u0026#39; within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C\u0026amp;amp;SI partners.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with the partner technical community by leading workshops, seminars, and meet-ups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Show expertise by producing creative technical solutions and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8 years of\u0026lt;strong\u0026gt; customer facing experience\u0026lt;/strong\u0026gt; working with external clients or partners across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Core strength in either data engineering or data science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience demonstrating technical concepts, including presenting and whiteboarding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing architectures within a public cloud (AWS, Azure, or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on experience in SQL, Python, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7011263002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5676144002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Research","University Recruiting"],"value_type":"multi_select"}],"id":7011263002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1000","title":"PhD GenAI Research Scientist Intern","company_name":"Databricks","first_published":"2023-11-07T16:36:32-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Company Description:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job description:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Most of the world\u0026#39;s data+AI problems lie in enterprise domains, behind closed doors. Our research team\u0026#39;s goal is to push the frontier of \u0026quot;domain adaptation\u0026quot; - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Adapting, improving, and evaluating a method from the literature.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing an entirely new method for domain adaptation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Composing together multiple methods to create new recipes for efficient post-training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluation of LLMs and AI systems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your qualifications and qualities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;Required:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research experience in and proficiency with the fundamentals of deep learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient software engineering skills, including with PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;SF Bay Area Hourly Rate\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$54\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$60 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001023002,"name":"University Recruiting","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8506061002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6397631002,"location":{"name":"Remote - Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Denmark ApS","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8506061002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ427R176","title":"Pre-sales Manager, Field Engineering - Named Accounts","company_name":"Databricks","first_published":"2026-04-17T11:28:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;(FEQ427R176)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Engineering Manager, you will lead a skilled and motivated team of technical pre-sales Solutions Architects and Solutions Engineers based in Denmark. You will play a key leadership role at the intersection of technology and business, helping the team design value-focused solutions and support growth through effective collaboration with Sales and other partners.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;You will coach your team to communicate complex ideas clearly and accessibly, supporting strategic sales cycles, and building strong partnerships with customers and stakeholders across large organisations. You will also foster a culture where people with diverse backgrounds feel included, supported, and able to do their best work.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a collaborative culture that reflects Databricks’ values of customer focus, teamwork, and diversity of thought.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Sales to drive solution- and value-based selling, helping customers understand the business impact of our platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance team effectiveness by establishing and iterating on best practices that improve efficiency and focus on meaningful business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trusted relationships with customer executives and strategic partners, acting as a credible advisor on data, analytics, and AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across teams—including Marketing, Sales, Product, and Services—to ensure a seamless customer experience and successful implementation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in Nordic markets.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we’re looking for:\u0026lt;/p\u0026gt;\n\u0026lt;blockquote\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/blockquote\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments, or equivalent experience that shows you can quickly learn new technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of leading, mentoring, and scaling pre-sales, consulting, or technical field organisations, with an emphasis on coaching and inclusive leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of consumption-based or subscription business models and how technical decisions influence commercial outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate effectively with Sales and other cross-functional leaders, balancing customer value, technical feasibility, and business priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and interpersonal skills, with fluency in English required and Danish preferable.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical background in Data Engineering, Databases, Data Science, or adjacent fields; consulting or customer-facing experience is an advantage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity and passion for data, AI, and cloud technologies, and the ability to articulate their business value in clear, inclusive language.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Notes:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;This will be a ‘Remote Contract’ with no formal Databricks office currently in Denmark. However the team do meet weekly/bi-weekly to meet in a coworking space in Copenhagen.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4086869002,"name":"Aarhus, Denmark","location":"Aarhus, Denmark","child_ids":[],"parent_id":4018697002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8486484002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6389870002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8486484002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ427R245","title":"Pre-sales Manager Nordics - Digital Natives \u0026 Startups","company_name":"Databricks","first_published":"2026-04-02T09:00:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;FEQ427R245\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Look at all the apps you have on your mobile. Many of these are built by customers that are within our Digital Natives \u0026amp;amp; Startup patch and are using Databricks to support their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and foster a culture of creativity, experimentation, and continuous improvement. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes Data and AI accessible to everyone. Join us in our quest to change how people work with data and make a better world!\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;About the team\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;The Solutions Architecture team serves as trusted advisors, helping customers identify and prioritize impactful use cases across their industries. Our team provides expert technical guidance to drive Data and AI solutions from concept to production. They act as a bridge between customers, product teams, and sales, ensuring that solutions are not only technically sound but also aligned with business objectives.\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;A Digital Native Business Solution Architect Leader is a senior technical and strategic role focused on designing, developing, and implementing technology solutions tailored for digital native companies—businesses born in the digital era, often leveraging cloud, APIs, and modern data platforms. This leader not only understands data solutions but also leads and mentors a team of solution architects to deliver impactful customer outcomes. You’ll empower companies to innovate and grow together with your team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have / Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Technical Leadership:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Guide customers through competitive landscapes, best practices, and implementation strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to help customers understand how Databricks can solve their business problems.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Team Leadership \u0026amp;amp; Mentorship:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, build, and mentor a high-performing team of solution architects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive exceptional customer outcomes demonstrated by production applications and increased adoption of APIs and platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop technical champions within customer organizations.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Customer Engagement \u0026amp;amp; Strategy:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with sales teams to develop account strategies and align on plans that help our customers to achieve their business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical win strategies and support technical account management for strategic customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with end-user and developer communities to understand needs and tailor solutions accordingly.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;*You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have 2+ years of experience leading technical pre-sales teams with a demonstrated ability to hire, develop, and manage technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of digital native business models and their technology and business requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience (often 5+ years) in infrastructure architecture, database architecture, networking, and IT development or consulting within software or internet industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have a proven ability to lead technical teams and an operational and strategic mindset in doing this.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have strong communication skills with excellent presentation and negotiation skills, both in-person and written.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience in pre-sales activities, such as solution design and business value selling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills; professional proficiency in English (knowledge of any Nordic language is a plus, but not a hard requirement).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Notes:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;This role is based in Stockholm, within a reasonable commuting distance, and follows a hybrid working model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8613435002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440109002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8613435002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R439","title":"Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2","company_name":"Databricks","first_published":"2026-07-05T12:16:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;FEQ327R439 x 2 New roles\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Dina Hussain\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London (or surrounding areas)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience, technical customer-facing and with a background ideally in\u0026amp;nbsp;\u0026lt;strong\u0026gt;Data Science / Generative AI / Machine Learning,\u0026amp;nbsp;\u0026lt;/strong\u0026gt;but will also consider Data Warehousing or Data Engineering.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be working in the following any of the following vertical sectors:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Entertainment, Media, Telco and/or Hospitality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Financial Services and Insurance (FSI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Retail / CPG (Consumer Package Goods)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Any experience in Pre-sales or post-sales experience working with external clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain points and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code in a core programming language such as \u0026lt;strong\u0026gt;PySpark\u0026lt;/strong\u0026gt;, Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8614459002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440502002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8614459002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ427R59","title":"Pre-sales Senior Technical Solutions Engineer (Data and AI) ","company_name":"Databricks","first_published":"2026-07-13T04:04:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID - FEQ427R59\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;London\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter: \u0026lt;/strong\u0026gt;Kanwal Matharu\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be working in the following any of the following vertical sectors:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manufacturing, Energy, Utilities and Industrials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel, Transport and Logistics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Financial Services and Insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Public Sector\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consumer Package Goods (CPG) / Retail\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Any experience in Pre-sales or post-sales experience working with external clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain points and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code in a core programming language such as Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8406090002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6355950002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8406090002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ227R148","title":"Pre-sales Senior Technical Solutions Engineer (Data and AI) x4","company_name":"Databricks","first_published":"2026-02-09T12:05:40-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID - \u0026lt;/strong\u0026gt;FEQ227R148 x 4 new roles\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;London\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter: \u0026lt;/strong\u0026gt;Dina Hussain\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be working in the following any of the following vertical sectors:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manufacturing, Energy, Utilities and Industrials\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel, Transport and Logistics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Financial Services and Insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Public Sector\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consumer Package Goods (CPG) / Retail\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Any experience in Pre-sales or post-sales experience working with external clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain points and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code in a core programming language such as Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7849147002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6095879002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":7849147002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"FEQ226R42","title":"Pre-sales Solutions Architect - Energy","company_name":"Databricks","first_published":"2025-02-17T18:35:16-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;FEQ226R42\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect in the Benelux Field Engineering organisation, specifically the Manufacturing Named Accounts team for the Energy sector, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused pre-sales team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Technical Strategy \u0026amp;amp; Leadership: Lead the technical strategy for Energy sector accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data \u0026amp;amp; AI practitioners, business domains and all the way up to C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Advisory: Act as a trusted advisor to senior leaders, driving alignment through negotiations and ensuring long-term technical commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Adoption: Move beyond \u0026quot;proof of concept\u0026quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentorship: Coach junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for: \u0026lt;/strong\u0026gt;\u0026lt;em\u0026gt;(Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!)\u0026lt;/em\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Industry domain experience in the Manufacturing sector, prior engagement with customers in the Energy domain will be advantageous for the role.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong \u0026quot;AI-Builder\u0026quot; mindset.\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also be looking to assess your skills with AI-assisted coding and tooling.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills in English required as a minimum.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Notes on the role:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;This will be an office-based contract (Amsterdam), with a hybrid schedule.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8609870002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438713002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8609870002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R463","title":"Presales Solutions Architect Manager (Energy, Resources and Utilities)","company_name":"Databricks","first_published":"2026-06-30T14:13:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;FEQ327R463\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Dina Hussain\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London, United Kingdom\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Industry Sector: Energy, Resources and Utilities sectors\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK\u0026amp;amp;I expansion with a specific focus on the Energy and Resources sector. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team\u0026#39;s effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Senior Director, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage hiring, onboarding and building your Pre-Sales Solutions Architect team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Where required, rapidly scale the designated team without sacrificing quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI natively yourself to drive efficiency and scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team. To embody and promote Databricks\u0026#39; customer-obsessed, teamwork and diverse culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution and value-based selling field-engineering organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of business needs and revenue potential for accounts in the assigned region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Databricks\u0026#39; brand in UK\u0026amp;amp;I in partnership with the Marketing and Sales team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks continue to expand by winning hearts and minds as we evolve our processes to support our business and technical growth\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI native builder mentality - using AI to enhance your own productivity and that of your team is a non-negotiable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing role across the \u0026lt;strong\u0026gt;Energy, Resources and Utilities \u0026amp;nbsp;sectors\u0026lt;/strong\u0026gt; in the UK and Ireland\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in developing go-to-market (GTM) strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in complex strategic accounts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience scaling and mentoring field and technical teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at instituting processes for technical field members to improve efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Market experience of the UK\u0026amp;amp;I region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8613194002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440031002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8613194002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R451","title":"Pre-sales Solutions Architect (Manufacturing, Defence \u0026 Automotive)","company_name":"Databricks","first_published":"2026-06-30T16:18:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;JOB ID: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;FEQ327R451\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Dina Hussain\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London, UK\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Industry:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Manufacturing, Defence and Automotive\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;We are seeking a highly motivated and technically skilled individual to join our UK\u0026amp;amp;I Enterprise Manufacturing, Defence and Automotive which focuses on supporting and growing customers in the UK\u0026amp;amp;I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK\u0026amp;amp;I region and close alignment with our London-based team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Technical Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to architect end-to-end Data \u0026amp;amp; AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pre-Sales \u0026amp;amp; Customer-Facing Skills:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Seniority \u0026amp;amp; Leadership:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Logistics:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ability to commute to the London office regularly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness and ability to travel approximately 20-30% of the time across UK\u0026amp;amp;I and EMEA for customer visits.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Databricks or other relevant Cloud/Data certifications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working within the Manufacturing, Defence or Automotive sectors.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8557780002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6118817002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Research"],"value_type":"multi_select"}],"id":8557780002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1227","title":"Principal AI Research Scientist, Research Director - AI Scaling","company_name":"Databricks","first_published":"2026-05-20T05:40:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h1\u0026gt;Principal AI Research Scientist, Research Director - AI Scaling\u0026lt;/h1\u0026gt;\n\u0026lt;h4\u0026gt;P-1227\u0026lt;/h4\u0026gt;\n\u0026lt;h2\u0026gt;About Databricks AI\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About the Scaling Research Team\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Role Summary\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Principal Research Scientist – AI Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What You Will Do\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and lead independent research programs on\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with distributed systems and infra teams to push the limits of distributed training\u0026lt;strong\u0026gt;,\u0026lt;/strong\u0026gt;\u0026amp;nbsp;parallelism strategies, memory management, and hardware utilization for LLMs and other large models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Nice to Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$270,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$340,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8456277002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6377856002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8456277002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"RDQ427R169","title":"Principal Data Scientist","company_name":"Databricks","first_published":"2026-03-10T00:52:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R169\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a \u0026lt;strong\u0026gt;Principal Data Scientist\u0026lt;/strong\u0026gt; to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our vision is simple: \u0026lt;strong\u0026gt;data drives every Databricks decision and action.\u0026lt;/strong\u0026gt; To get there, we need a world-class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive translation.\u0026lt;/strong\u0026gt; Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors — ensuring data science insights directly inform the company\u0026#39;s most critical decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Statistical authority.\u0026lt;/strong\u0026gt; Serve as the company\u0026#39;s chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Org-wide uplevel.\u0026lt;/strong\u0026gt; Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic insights.\u0026lt;/strong\u0026gt; Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning — the kind of synthesized, judgment-rich insight that AI cannot autonomously create.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-functional influence.\u0026lt;/strong\u0026gt; Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;External thought leadership.\u0026lt;/strong\u0026gt; Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Methodology and standards.\u0026lt;/strong\u0026gt; Define and evolve company-wide scientific methodologies — experimentation frameworks, forecasting systems, causal inference approaches — to match and push industry state-of-the-art.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;Required\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience at the intersection of statistics and large-scale technology or data platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Preferred\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Academic research or teaching background in statistics or a quantitative field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Industry experience at multiple tier-1 technology companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Published research or recognized thought leadership in applied statistics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or leading a \u0026quot;Chief Statistician\u0026quot; or equivalent function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in infrastructure, platform, or systems-oriented data science.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407917002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356450002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8407917002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"MKTQ227R22","title":"Principal Demand Generation Manager ","company_name":"Databricks","first_published":"2026-02-09T20:03:11-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ227R22\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Senior Director of Demand Generation, this role is responsible for uniting cross-functional stakeholders to develop and execute the biannual, strategic, and integrated Demand Generation and Field Marketing plan. You’ll act as a central connecting point between go-to-market teams—ensuring we align with the company\u0026#39;s overarching priorities and deliver measurable growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strategic Alignment: Lead collaboration across Demand Generation, Partner Marketing, Field Marketing, and other key leaders to articulate how integrated half-year plans roll up to company goals, securing executive alignment and approval.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business Driver/SME: Informs and champions transformational operational excellence: A strong, scalable, operating rhythm that drives accountability, transparency, and measurability throughout the campaign development process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data-Driven Insights: Synthesize complex data and insights to guide executive decision-making and strategic adjustments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Forward Thinking: Advocates and prioritizes a roadmap, asks about the future of integrated campaign development, and identifies and prioritizes high-impact projects to help scale the organization effectively.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of professional experience, of which 5+ years of experience are in demand generation in a high-growth SaaS startup.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and stakeholder management skills; skilled at influencing across senior levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to build operational frameworks, manage budgets, and drive cross-functional alignment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working in dynamic, fast-paced environments and managing competing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical mindset with proficiency in data-driven decision-making and campaign performance analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Past experience working on integrated campaigns with expertise in end-to-end campaign development, execution, and measurement.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize and achieve in an environment that requires fresh thinking and new ideas. Strong growth mindset, having an open mind to new ideas and growth opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$264,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$173,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$238,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$211,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8400563002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787567002,"location":{"name":"Bellevue, Washington; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8400563002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1125","title":"Principal Engineer, Authentication","company_name":"Databricks","first_published":"2026-02-02T16:16:44-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1125\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer\u0026#39;s journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recruit and mentor top-tier engineering talent to scale our security infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks’ security innovations at major academic and industry conferences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;This role is open to remote candidates.\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$266,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$365,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8400559002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787567002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8400559002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1125","title":"Principal Engineer, Authentication","company_name":"Databricks","first_published":"2026-02-02T16:16:21-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1125\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer\u0026#39;s journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recruit and mentor top-tier engineering talent to scale our security infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks’ security innovations at major academic and industry conferences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;This role is open to remote candidates.\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$280,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$385,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8334738002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4746764002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":[],"value_type":"multi_select"}],"id":8334738002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-725","title":"Principal Engineer, Compute Fleet Management","company_name":"Databricks","first_published":"2025-12-11T12:15:49-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;# P-725\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team: Join the Core of Databricks Infrastructure\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Compute Infra Team is the engine behind all of Databricks\u0026#39; products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission: Define the Future of Cloud Compute Efficiency and Scale\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Technical Lead for Compute Fleet Management, you won\u0026#39;t just manage a fleet—you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Pioneering Fleet Optimization:\u0026lt;/strong\u0026gt; Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Delivering Hyper-Scale Resilience:\u0026lt;/strong\u0026gt; Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Owning the Critical Path:\u0026lt;/strong\u0026gt; Lead the development of the lowest-dependency systems required to bootstrap and manage our massive compute platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes: The Impact You Will Deliver\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is for an engineer who thrives on owning the most challenging and impactful outcomes:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High Availability:\u0026lt;/strong\u0026gt; Achieve and maintain 99.99% availability for all batch and serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Stellar Efficiency:\u0026lt;/strong\u0026gt; Drive utilization to 60% or higher—a crucial metric that requires balancing high efficiency with unwavering tolerance for cloud failures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Best-in-Class Isolation:\u0026lt;/strong\u0026gt; Architect and enforce strong security and performance isolation across a diverse range of customer workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements: Are You Ready for this Challenge?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a seasoned Principal Engineer who has not only built but successfully operated large-scale, mission-critical infrastructure systems in production. You must have a track record of:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leading Transformative Projects:\u0026lt;/strong\u0026gt; Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Distributed Systems Mastery:\u0026lt;/strong\u0026gt; Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Influence Without Authority:\u0026lt;/strong\u0026gt; Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execution Discipline:\u0026lt;/strong\u0026gt; Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Edge: Highly Desirable Experience\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing and scaling a massive fleet of GPUs for AI/ML workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with developing and operating large-scale distributed systems across\u0026amp;nbsp;\u0026lt;strong\u0026gt;all\u0026lt;/strong\u0026gt; major clouds (AWS, Azure, and GCP).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$264,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$322,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274875002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787567002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274875002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1125","title":"Principal Engineer - Privacy","company_name":"Databricks","first_published":"2024-03-06T15:53:32-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1125\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274488002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787567002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274488002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1125","title":"Principal Engineer - Privacy","company_name":"Databricks","first_published":"2024-03-06T14:13:12-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1125\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$297,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8224828002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787567002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8224828002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1125","title":"Principal Engineer - Privacy","company_name":"Databricks","first_published":"2025-10-23T14:53:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1125\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$278,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$339,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274619002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787567002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274619002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1125","title":"Principal Engineer - Privacy","company_name":"Databricks","first_published":"2024-03-06T14:13:13-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1125\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$297,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8638644002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6450139002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8638644002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"MKTQ327R34","title":"Principal Product Marketing Manager, AI","company_name":"Databricks","first_published":"2026-07-20T19:36:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ327R34\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build and use high-quality AI agents and applications that drive real business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will own product marketing for Genie, the data-smart AI coworker for business teams. Reporting directly to the Senior Director of Product Marketing, you will lead messaging and content development for cross-channel marketing strategies targeting business and technical buyers as well as business users, with a strong focus on business value, usability, and adoption. You will partner closely with product, sales, partner, and marketing teams to increase awareness, support new launches, and drive adoption of Genie.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Ideal candidates will have a proven record in product marketing and experience working on technical products. You have a strong understanding of Data \u0026amp;amp; AI platform offerings, have worked on creating messaging and positioning of technical products targeted at enterprise business users and decision makers (e.g., operations, finance, marketing), and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish Genie as the leading AI coworker for business teams by driving awareness, adoption, and daily usage across priority business user segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Launch and iterate messaging and campaigns that increase engagement, activation, and conversion among business users and decision makers, while aligning with IT stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Elevate Databricks’ AI narrative with a strong emphasis on business value and productivity gains at flagship events and in always-on campaigns, resulting in increased share of voice and Genie pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve sales readiness and productivity by delivering enablement programs and content that help teams clearly articulate Genie’s business value to non-technical buyers and end users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a strong portfolio of customer stories and proof points that demonstrate measurable Genie impact on business outcomes and are actively leveraged across sales, marketing, and partner motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of product marketing experience at an enterprise software company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience marketing Data \u0026amp;amp; AI, AI assistants, or AI-powered products, particularly those used directly by business teams or end users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record creating messaging and content that resonates with business users and decision makers while bridging to technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience partnering closely with sales teams and partner teams to build and execute GTM and enablement programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sufficient technical fluency to translate complex AI capabilities into clear, outcome-focused narratives for enterprise customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$193,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$266,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$174,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$239,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$226,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$154,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493724002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392690002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8493724002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"MKTQ127R8","title":"Principal Product Marketing Manager, AI Governance","company_name":"Databricks","first_published":"2026-04-07T20:35:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ127R8\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build high-quality AI agents and applications with enterprise-grade governance, security, and observability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will own product marketing for Databricks AI Governance portfolio, including Unity AI Gateway. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive trusted AI adoption, enable sales and partners, generate pipeline for AI products, and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives around AI governance (e.g., access control, monitoring, policy enforcement), compelling customer content, targeted campaigns, and impactful product launches.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the marketing strategy and planning for AI governance products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and land collateral for key channels across sales, partner, and demand generation, including content campaigns and events that highlight AI governance, compliance, and observability capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI governance mindshare, driving pipeline, and adoption of governed AI usage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a strong and collaborative partnership with product and engineering teams to launch new products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Increase global reach by working with field marketing, industry, events, and partner organizations to help scale the business globally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trust with customers and share their agentic AI customer stories, emphasizing governance, risk mitigation, and production readiness\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of technical product marketing experience in an enterprise software company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AI/ machine learning technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of AI, security, and governance decision makers and builders (developers, ML engineers, platform teams), and experience building content around governed AI platforms and policy-driven controls\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Portfolio of impactful marketing content, sales enablement materials and always-on GTM Experience presenting at conferences and customer engagements, including topics related to AI governance, risk, and enterprise adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred BS in Computer Science or Engineering, coupled with MBA\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$193,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$266,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$174,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$239,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$226,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$154,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$212,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8521190002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6118817002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Research"],"value_type":"multi_select"}],"id":8521190002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1227","title":"Principal Research Scientist – Scaling","company_name":"Databricks","first_published":"2026-04-23T13:38:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h1\u0026gt;Principal Research Scientist – Scaling\u0026lt;/h1\u0026gt;\n\u0026lt;h4\u0026gt;P-1227\u0026lt;/h4\u0026gt;\n\u0026lt;h2\u0026gt;About Databricks AI\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About the Scaling Research Team\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Role Summary\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What You Will Do\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and lead independent research programs on\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with distributed systems and infra teams to push the limits of distributed training\u0026lt;strong\u0026gt;,\u0026lt;/strong\u0026gt; parallelism strategies, memory management, and hardware utilization for LLMs and other large models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Nice to Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$280,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$350,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8612863002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439894002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":8612863002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"RDQ327R177","title":"Principal Security Field Engineer","company_name":"Databricks","first_published":"2026-07-06T19:26:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ327R177\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;The Security Field Engineering team helps data teams solve the world\u0026#39;s toughest problems by empowering customers to understand the security of the Databricks platform and by helping account teams address questions that come up during security reviews. Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white papers, and maybe write code that customers can use. Our team prioritizes scale -- we\u0026#39;d rather spend an hour building a doc than be in ten hours of meetings, rather deliver agent skills and knowledge base articles than be the rock star answering all the questions. If you want high growth, autonomy, and to touch all elements of security, look no further.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership—no one excels in every area, but all are valuable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;When you’re on the call, you will be directly appreciated. When you’re not, your impact will be felt across the company through the enablement, collateral, knowledge management, and systems you build\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes to save customers hours of effort and months of uncertainty\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will identify customer pain points and work with product management and product marketing will improve our product and our messaging\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will contribute to internal-facing services and automation that make life easier for our field staff and our customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are probably already great at AI productivity, but you’ll sit in a group focused on becoming legendary.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of technical pre-sales or post-sales experience where you\u0026#39;re the person in the room explaining the hard concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equal love of understanding complex security principles and architectures, and of communicating them simply\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Real-world experience in multiple security domains such as IaaS+PaaS+SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM, though not all are needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ve done some scripting or programming, and are excited to use AI relentlessly to scale our impact across many thousands of customers and employees.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of the Databricks platform is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$270,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$371,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$243,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$334,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$229,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$315,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$216,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$297,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6883068002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5617008002,"location":{"name":"Bellevue, Washington; Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["University Recruiting"],"value_type":"multi_select"}],"id":6883068002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-982","title":"Product Management Intern (Summer 2027)","company_name":"Databricks","first_published":"2023-08-17T17:27:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-982\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Product\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Management\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Intern,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;you will\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;join a\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;team that works diligently to understand and solve our customers\u0026#39; most challenging problems\u0026lt;strong\u0026gt;. \u0026lt;/strong\u0026gt;You will learn how to be a successful PM at a high-growth enterprise technology company that operates at the\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;important\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;intersection of data and AI. We\u0026#39;re hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 intern cohort, you will have a dedicated manager and mentor as well as two mentors and connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a 12 week paid summer internship program in either San Francisco, CA, Mountain View, CA, or Bellevue, WA.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deeply understand customer problem space and establish the rails for viable solution space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engineers and designers to ship features on the Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own your project end-to-end — design, build, launch, and iterate on feedback\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build with scale, quality, and security in mind from day one\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pursuing a bachelor\u0026#39;s or master\u0026#39;s in computer science or a related engineering field graduating in Fall 2027 or Spring 2028\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ve used AI tooling for both personal productivity and development projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have some first hand experience with SQL and/or Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re hands-on and learn by doing — happy to build, test, and iterate your way to an answer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You use analytical skills to make data-driven decisions (e.g. analyzing product usage)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re excited to solve ambiguous problems with a collaborative team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You stay curious and keep learning, whether it\u0026#39;s a new technology, a customer\u0026#39;s domain, or a corner of the product you haven\u0026#39;t touched\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;SF Bay Area Hourly Rate\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$54\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$56 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Bellevue, Washington Hourly Rate\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$51.50\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$53.50 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8487145002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6390132002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8487145002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"MKTQ227R30","title":"Product Marketing Director, AI","company_name":"Databricks","first_published":"2026-04-03T16:40:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ227R30\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build-high quality AI agents and applications.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Director of Product Marketing for Databricks AI, you will lead the marketing strategy across Agent Bricks, our enterprise agent platform, and core machine learning products. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive AI adoption, enable sales and partners, generate pipeline for AI products, and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives, compelling customer content, targeted campaigns, and impactful product launches.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the marketing strategy and planning for Databricks AI products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and land collateral for key channels across sales, partner, and demand generation, including content campaigns and events\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a strong and collaborative partnership with product and engineering teams to launch new products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Increase global reach by working with field marketing, industry, events, and partner organizations to help scale the business globally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trust with customers and share their agentic AI customer stories\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of technical product marketing experience in an enterprise software company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AI/ machine learning technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of AI decision makers and builders (developers, ML engineers), and experience in building relevant content for them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Portfolio of impactful marketing content, sales enablement materials and always-on GTM with proven results across the marketing funnel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience presenting at conferences and customer engagements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred BS in Computer Science or Engineering, coupled with MBA\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$237,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$325,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$213,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$293,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$201,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$277,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$189,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8199399002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6249722002,"location":{"name":"Bellevue, Washington; Denver, Colorado; Seattle, Washington; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8199399002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"GAQ426R79","title":"Program Analyst, Legal Ops","company_name":"Databricks","first_published":"2025-10-24T18:21:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ426R79\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team’s AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks\u0026#39; long-term corporate goals.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M\u0026amp;amp;A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;How you will work:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You routinely identify and recommend opportunities to change and improve ways of working.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are a bar raiser, constantly looking to improve standards within the team and to streamline\u0026amp;nbsp; process and quality across different regions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Outstanding interpersonal and communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with leveraging AI or machine learning in a legal setting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree or equivalent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong project management skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal communication.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work effectively with cross-functional teams across diverse cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic thinking and problem-solving abilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with relevant industry regulations and compliance requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with proposal management software.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$92,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$126,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$87,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$119,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4011925002,"name":"Denver, Colorado","location":"Denver, Colorado","child_ids":[],"parent_id":4056370002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569993002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6423011002,"location":{"name":"Bellevue, Washington; Boston, Massachusetts; Seattle, Washington; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8569993002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"GAQ426R82","title":"Program Manager, Product Legal","company_name":"Databricks","first_published":"2026-06-12T15:26:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ426R82\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Program Manager for Product Legal at Databricks, you will sit at the intersection of cutting-edge data/AI innovation, software engineering, and global compliance. Reporting directly to the Director \u0026amp;amp; Assistant General Counsel, Product, you will act as the operational backbone for the Product Legal Program. Your primary mission is to support our Product Legal team as they advise Engineering and Product teams on compliance for our global software offerings.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly independent role designed for a self-starter who thrives on total accountability. You won\u0026#39;t just track workstreams—you will own them. You will design Jira automations, route legal work, maintain critical metric dashboards, and leverage modern AI tools (such as Claude Code Genie Code, or Cursor) to proactively optimize and automate our workflows. If you are an operationally fierce, tech-forward program manager who loves keeping complex projects moving and holding teams accountable, we want to talk to you.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the Product Legal Program Execution:\u0026lt;/strong\u0026gt; Act as the central driver, ensuring the program moves forward. Track compliance rollouts, monitor upcoming global legal and regulatory updates, manage workstreams, and keep cross-functional stakeholders accountable to deadlines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect Smart Legal Operations \u0026amp;amp; Routing:\u0026lt;/strong\u0026gt; Oversee the routing and tracking of incoming legal requests. Build, maintain, and optimize Jira workflows and automations to intelligently assign tickets, reduce manual overhead, and ensure no legal review drops through the cracks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build \u0026amp;amp; Upkeep Next-Gen AI Tooling:\u0026lt;/strong\u0026gt; Partner with the team to help build, maintain, and deploy modern AI tools, agents, and prompts (leveraging frameworks like Claude Code, Cursor, and similar developer tools) to automate repetitive legal tasks and scale institutional knowledge.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Maintain Data-Driven Dashboards:\u0026lt;/strong\u0026gt; Own the collection, upkeep, and analysis of core operational metrics. Build and maintain dashboards that give leadership real-time visibility into ticket volumes, product review status, and compliance risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale Engineering \u0026amp;amp; Product Advisory:\u0026lt;/strong\u0026gt; Streamline how legal advice is delivered to software engineering and product teams, transforming complex legal requirements into repeatable project plans and automated guardrails.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Proactive Continuous Improvement:\u0026lt;/strong\u0026gt; Constantly audit the status quo. Identify operational bottlenecks and implement technical solutions or workflow adjustments to help the legal organization scale alongside Databricks’ rapid growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience \u0026amp;amp; Industry Context: \u0026lt;/strong\u0026gt;Program management or paralegal experience within a fast-paced in-house technology company or a major technology-focused law firm. Familiarity with legal concepts and the software development lifecycle is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Modern AI \u0026amp;amp; Tech Literacy:\u0026lt;/strong\u0026gt; Experience with or a strong desire to utilize advanced AI productivity and coding tools (e.g., Claude Code, Cursor, or prompt engineering for data/workflow analytics) and project tracking systems like JIRA to build and maintain operational infrastructure. Any coding experience is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Extreme Autonomy \u0026amp;amp; Accountability:\u0026lt;/strong\u0026gt; A proven track record of working with a high degree of independence. You are someone who proactively uncovers problems, designs solutions, and drives them to completion without needing micro-management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Project \u0026amp;amp; Compliance Management:\u0026lt;/strong\u0026gt; Exceptional capability in handling project-based work, with a disciplined approach to tracking regulatory changes, rolling out compliance initiatives, and maintaining rigorous project schedules.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Influence:\u0026lt;/strong\u0026gt; Excellent verbal and written communication skills. Ability to confidently interface with senior legal counsel, push back on engineering/product timelines when necessary, and keep diverse teams aligned.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Bachelor’s degree from an accredited university, or equivalent practical operational experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$109,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$150,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4056376002,"name":"Remote - Massachusetts","location":"Remote - Massachusetts","child_ids":[],"parent_id":4033875002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603402002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436252002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8603402002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R256","title":"Real Estate Strategic Planning Lead","company_name":"Databricks","first_published":"2026-06-29T12:19:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Real Estate Strategic Planning Lead to join our Real Estate \u0026amp;amp; Workplace Services (REWS) team. Reporting to Global Real Estate Strategy \u0026amp;amp; Transactions, this highly visible and impactful role will be responsible for portfolio planning, scenario planning, and portfolio optimization across Databricks’ global real estate portfolio. The role will support executive decision-making through strategic analysis, financial modeling, and business case support to inform key real estate decisions.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Finance and Real Estate Leadership to maintain REWS long-range portfolio plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create and maintain flexible portfolio models and manage complex scenario planning initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop portfolio optimization recommendations aligned with business growth, financial objectives, and employee experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct financial, operational, and portfolio analyses to support strategic real estate decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support development of executive-ready business cases, presentations, and strategic recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate complex portfolio tradeoffs into clear, data-driven insights and actionable recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain recurring portfolio reporting, dashboards, and key performance metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct ad hoc analyses and decision support for high-priority REWS cross-functional initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Finance, Workplace, People, IT, and Real Estate stakeholders globally to support portfolio planning initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help establish scalable planning frameworks, reporting standards, and governance processes as Databricks continues to grow\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Real Estate, Finance, Economics, Business Administration, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in a combination of Real Estate, Finance, Strategy, Management Consulting, or related fields with a track record of success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent analytical skills, including financial modeling, forecasting, portfolio analysis, and scenario planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong presentation, verbal, and written communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to manage multiple high-visibility projects simultaneously in a fast-paced environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in a results-driven, solutions-oriented environment with competing priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong collaboration skills and ability to work effectively across cross-functional stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced proficiency in Google Sheets, Excel, and presentation development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with planning and reporting tools such as Anaplan, Tableau, Databricks, or similar platforms preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$198,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4128164002,"name":"Facilities","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8495067002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6393257002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8495067002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ427R275","title":"Retail \u0026 Consumer Goods APAC Leader ","company_name":"Databricks","first_published":"2026-04-13T01:20:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ427R275\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;This is not a role for someone who wants to inherit a playbook.\u0026amp;nbsp;As the Go-to-Market Leader for APAC Retail \u0026amp;amp; Consumer Goods, you will architect and execute a category-defining strategy from the ground up.\u0026amp;nbsp;You\u0026#39;ll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail \u0026amp;amp; Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas.\u0026amp;nbsp;You will shape how APAC’s largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.\u0026lt;/p\u0026gt;\n\u0026lt;h4 id=\u0026quot;the-impact-you-will-have\u0026quot; class=\u0026quot;font-editorial font-bold mb-2 mt-4 [.has-inline-images_\u0026amp;amp;]:clear-end text-base first:mt-0\u0026quot;\u0026gt;The impact you will have\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;A Scalable APAC Growth Engine\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Design and execute a go-to-market strategy that doesn\u0026#39;t yet exist in its final form. You’ll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Programmatic Opportunity Capture\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won\u0026#39;t pursue targets one at a time; you\u0026#39;ll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;A Partner Ecosystem from First Principles\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn\u0026#39;t about managing existing relationships—it\u0026#39;s about seeing what partnerships should exist and making them real.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Data-Driven Operational Excellence\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Sales Plays That Travel\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Create comprehensive, scalable sales initiatives tailored to APAC’s diverse geographies while contributing frameworks that support Americas and EMEA. You\u0026#39;ll work cross-functionally to ensure these plays move from concept to revenue.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Industry Thought Leadership\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Establish Databricks as the authoritative voice in Retail \u0026amp;amp; Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Influence\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Market-Defining Content\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Sales Team Acceleration\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 id=\u0026quot;what-we-look-for\u0026quot; class=\u0026quot;font-editorial font-bold mb-2 mt-4 [.has-inline-images_\u0026amp;amp;]:clear-end text-base first:mt-0\u0026quot;\u0026gt;What we look for\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;An Industry Insider with Builder DNA\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You\u0026#39;ve held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry\u0026#39;s challenges from the inside—but you\u0026#39;re energized by building something new rather than optimizing what exists.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Entrepreneurial by Nature\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You\u0026#39;ve operated in environments where the path wasn\u0026#39;t paved. You\u0026#39;re comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;A GTM Architect\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;An Executive Relationship Builder\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;A Transformation Leader\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You\u0026#39;ve led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Technically Fluent\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Regulatory Aware\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You understand key APAC regulatory environments—such as data privacy, payments, sustainability, and sector-specific compliance—and can navigate these considerations in strategic conversations.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;A Program Operator\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You\u0026#39;ve managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;A Force Multiplier\u0026lt;/strong\u0026gt;\u0026amp;nbsp;You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail \u0026amp;amp; Consumer Goods customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4019773002,"name":"Go To Market ","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8374717002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6343654002,"location":{"name":"Germany; London, United Kingdom; Netherlands; Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8374717002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ127R516","title":"Retail \u0026 Consumer Goods EMEA Leader","company_name":"Databricks","first_published":"2026-01-23T16:11:20-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Title: \u0026lt;/strong\u0026gt;Retail and Consumer Goods EMEA Leader\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID:\u0026lt;/strong\u0026gt; SLSQ127R516\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail \u0026amp;amp; Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You\u0026#39;ll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail \u0026amp;amp; Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA\u0026#39;s largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A Scalable EMEA Growth Engine\u0026lt;/strong\u0026gt; Design and execute a go-to-market strategy that doesn\u0026#39;t yet exist in its final form. You\u0026#39;ll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programmatic Opportunity Capture\u0026lt;/strong\u0026gt; Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won\u0026#39;t pursue targets one at a time; you\u0026#39;ll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A Partner Ecosystem from First Principles\u0026lt;/strong\u0026gt; Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn\u0026#39;t about managing existing relationships—it\u0026#39;s about seeing what partnerships should exist and making them real.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-Driven Operational Excellence\u0026lt;/strong\u0026gt; Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sales Plays That Travel\u0026lt;/strong\u0026gt; Create comprehensive, scalable sales initiatives tailored to EMEA\u0026#39;s diverse geographies while contributing frameworks that support Americas and APJ. You\u0026#39;ll work cross-functionally to ensure these plays move from concept to revenue.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Industry Thought Leadership\u0026lt;/strong\u0026gt; Establish Databricks as the authoritative voice in Retail \u0026amp;amp; Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Influence\u0026lt;/strong\u0026gt; Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market-Defining Content\u0026lt;/strong\u0026gt; Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sales Team Acceleration\u0026lt;/strong\u0026gt; Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;An Industry Insider with Builder DNA\u0026lt;/strong\u0026gt; You\u0026#39;ve held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry\u0026#39;s challenges from the inside—but you\u0026#39;re energized by building something new rather than optimizing what exists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Entrepreneurial by Nature\u0026lt;/strong\u0026gt; You\u0026#39;ve operated in environments where the path wasn\u0026#39;t paved. You\u0026#39;re comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A GTM Architect\u0026lt;/strong\u0026gt; You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;An Executive Relationship Builder\u0026lt;/strong\u0026gt; You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A Transformation Leader\u0026lt;/strong\u0026gt; You\u0026#39;ve led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technically Fluent\u0026lt;/strong\u0026gt; You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Regulatory Aware\u0026lt;/strong\u0026gt; You understand the European regulatory environment—GDPR, Greenhouse Gas Compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A Program Operator\u0026lt;/strong\u0026gt; You\u0026#39;ve managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A Force Multiplier\u0026lt;/strong\u0026gt; You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail \u0026amp;amp; Consumer Goods customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Multilingual\u0026lt;/strong\u0026gt; Fluent in English with strong proficiency in French or German.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4019773002,"name":"Go To Market ","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582310002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6427998002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8582310002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R407","title":"RVP, Retail","company_name":"Databricks","first_published":"2026-06-09T18:26:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Req ID:\u0026lt;/strong\u0026gt; SLSQ327R407\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Title: \u0026lt;/strong\u0026gt;RVP, Retail\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: \u0026lt;/strong\u0026gt;United States\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a strategic Regional Vice President to lead our Retail team in North America. You will lead an agile team of Directors and their Enterprise Account Executives, measured by achieving overall team quota, new logo acquisition, and expanding Databricks adoption across the most strategic retail customers in North America. This team is passionate about building a modern data and AI ecosystem across the industry and helping customers and partners succeed. You will report to the Vice President of Retail in North America.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you will do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and lead a team of talented Directors and Enterprise Account Executives to drive growth across strategic and emerging markets within the Retail industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire a culture of teamwork, customer value, and measurable business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop trusted relationships with customers and partners to support long-term growth and success across North America.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster continuous learning and a strong understanding of Databricks’ technical capabilities and future product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead North American Enterprise growth planning while ensuring forecast accuracy and a predictable, high-growth business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale and accelerate sales through data consumption models and AI-driven business transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help customers drive innovation, operational efficiency, and revenue growth by leveraging the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have the desire to build a collaborative, inspired team culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You live our core values: customer obsession, teamwork makes the dream work, own it, and let the data decide!\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building a high-growth sales team serving enterprise customers within North America within the big data, Cloud, or SaaS Sales Industry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of exceeding sales quotas in similar high-growth Enterprise software companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of value selling and structured methodologies e.g. MEDDPICC, Challenger, Command of Message.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of developing the partner ecosystem to help grow strategic enterprise territories.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success implementing strategies for usage and booking-based sales revenue models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076800002,"name":"Exec Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604610002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436794002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604610002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ227R299","title":"Sales Compensation Manager","company_name":"Databricks","first_published":"2026-06-30T04:48:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Overview:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sales Compensation Manager (L6) leads complex compensation operations workstreams that drive reliability, scalability, and risk reduction across the sales compensation function. You will own end-to-end commission administration for a large payee portfolio, ensuring flawless execution across payroll submissions, SOX compliance, exception management, and stakeholder delivery, operating at the frontier of what AI and modern tooling make possible so that automation is embedded by default, not bolted on. Operating with a 6–12 month horizon, you’ll independently scope and solve moderately complex problems, influence Directors and Sr. Directors, and raise the bar for the team through mentorship, enablement, and operational discipline with strong automation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end sales compensation administration for a large payee portfolio with full accountability for accuracy, timeliness, SOX compliance, and high-quality execution across participant setup, plan distribution, calculation, payment readiness, and payroll submission.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead payroll submission for one or more GEOs with 100% accuracy, timeliness, and SOX compliance, including zero-pay confirmations, audit checkpoints, and evidence completeness across controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively detect anomalies and apply conservative holds to prevent overpayment; operationalise Exception Committee items with traceable implementation and reduced exception cycle time, leveraging AI-powered anomaly detection and predictive payment risk scoring to identify issues before they reach payroll.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate data across source-of-truth systems (Xactly, SFDC, HRIS, Anaplan, etc.), investigate issues such as incorrect credits, quota misalignments, and payout exceptions, and deliver actionable recommendations to leadership, deploying agentic validation workflows and LLM-based solutions to reduce manual reconciliation and improve decision quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead large or moderately ambiguous projects independently, balancing multiple priorities, defining clear ownership across contributors, and creating repeatable inspection mechanisms (dashboards, check-ins, trackers) that consistently deliver outcomes on time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence business partners across Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc. by framing decisions in terms of field experience, risk, and audit compliance, acting as the trusted first point of contact in escalation paths.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and advance the team’s automation roadmap, driving adoption of AI across commission operations workflows, including intelligent anomaly detection, AI-assisted exception triage, automated evidence generation, and agentic validation of data across source systems, identifying where AI creates real leverage and building repeatable operating rhythms, standardized SOPs, and audit-ready documentation that improve quality, speed, and consistency while reducing execution risk.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the team through templates, playbooks, evidence packs, and exception trackers, mentoring analysts (including offshore resources) to raise execution quality beyond individual scope.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of end-to-end sales compensation administration and commissions system operations, spanning payroll submissions, SOX control operations, exception modelling/recalcs, and stakeholder deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced proficiency with Xactly (administration, configuration, reporting, troubleshooting) and Excel/Google Workspace for complex modelling, analysis, and insight generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong data validation skills across source-of-truth systems (SFDC, HRIS, Anaplan, etc.) with demonstrated ability to detect anomalies, perform complex commission modelling, and translate findings into clear recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated program management experience across payroll and compliance/exception workflows, able to set and run cadences, produce audit evidence packs, define escalation paths, and maintain continuous audit readiness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of SaaS go-to-market compensation models, including quotas, OTI, accelerators, overlays, SPIFFs, MBOs, and how plan mechanics influence seller behaviour.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to influence cross-functional partners (Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc.) by proposing trade-offs, framing risk, and driving shared outcomes without direct authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to bring structure to ambiguity, scoping complex problems, balancing speed with rigour, and delivering consistent, control-minded execution with minimal oversight.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort prompting and evaluating LLMs as part of daily work, with a practical point of view on where AI creates real leverage in compensation operations versus where human judgment remains essential. Experience deploying AI or automation solutions, whether through vendor tooling, custom workflows, or agentic systems, to measurably improve speed, accuracy, or coverage. Partners with internal AI tooling teams to identify and deploy solutions that reduce manual work and scale the function.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582993002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428286002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8582993002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R270","title":" Sales Dev AI Program Manager","company_name":"Databricks","first_published":"2026-06-25T03:21:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R270\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sales Dev AI Programs Team works directly with Databricks\u0026#39; Sales Development and Sales leadership to architect the world\u0026#39;s elite top-of-funnel engine, empowering every xDR and AE with the prospecting tools and programs to convert market potential into predictable revenue.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We sit at the intersection of strategy, AI, and the field, and we own the programs that turn scaled, AI-native prospecting from an experiment into the operating standard.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Sales Dev AI Program Manager to own outcomes and inspection, metric design, measurement and reporting, governance, benchmarking, enablement, content strategy, and change management for an AI-first prospecting program that touches the entire go-to-market organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will design and run the operating mechanisms that make the Scaled AI program work, executive cadences and risk oversight, prioritization with BDR managers and FLMs, sequence governance across AI and legacy Outreach, and the reporting and inspection that tells us what\u0026#39;s working and what isn\u0026#39;t. You deliver the day-to-day program management with exceptional rigor and never lose sight of how an AI-native prospecting model should be built from first principles.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Alongside Sales Dev leadership, you\u0026#39;ll partner across AI Ops, Strategy Ops, Sales Programs, Marketing Ops, Enablement, GTM Analytics, and external technology partners to drive adoption, close the loop on user signals, and continuously raise the bar on program performance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We\u0026#39;re looking for someone who is AI-fluent, operationally rigorous, strategic about how high-volume prospecting should operate, and biased toward redesigning workflows from first principles rather than maintaining legacy ones.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity to define what scaled, AI-native prospecting looks like at one of the fastest-growing companies in tech, and to set the blueprint for the industry.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Programs pillar for one of our four BUs, including outcomes \u0026amp;amp; inspection, metric design, measurement \u0026amp;amp; reporting, governance, benchmarking, enablement, content strategy, and change management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Co-run executive cadences and risk oversight: deliver regular updates to leadership on program health, pipeline pacing, and adoption, and surface risks early.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive prioritization and alignment: run regular cadences with Sales Dev and Sales leaders to get feedback, prioritize and operate programs (SPIFs, contests, reporting reviews).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own reporting and inspection: build the data foundation and executive- and field-facing reporting that explains what works and what doesn\u0026#39;t across sequences, tactics, and segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own sequence governance: standardize and audit Outreach sequences (AI and legacy) with central design plus a monthly efficacy review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build community and adoption: turn passive users into advocates (AI Prospecting Council, advisory boards, personifying the agents, meeting users where they work) and drive field alignment, readiness, and adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Co-own field experience, and alignment with AI Ops, and partner across Sales Ops, Strategy Ops, Marketing Ops, Enablement, GTM Analytics, and IT.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a force multiplier: bring fresh thinking to old problems, build AI-powered toolkits that scale, and raise the technical bar for the whole team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI fluency is non-negotiable. You use AI tools as part of your daily workflow as a multiplier.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong preference for a \u0026quot;built something where there wasn\u0026#39;t anything\u0026quot; background. Ideal profiles include program or GTM strategy at a hyper-growth company, sales development / prospecting program ownership, chief of staff at a growth-stage startup, and former consultants with operational experience. We want people who thrive where the playbook didn\u0026#39;t exist yet, and built it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional attention to detail \u0026amp;amp; data-integrity instinct. This role requires consistent, high-quality operational delivery: accurate exec-facing work, on-time delivery, status integrity, zero-defect output. You spot discrepancies, trace them to root causes, and won\u0026#39;t ship a number you can\u0026#39;t defend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Program ownership orientation. You want to do the operational parts of the job, not just architect them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic mind for high-volume prospecting. You bring a perspective on how scaled coverage, AI pilots, partner-led motions, and programmatic engagement should operate and you want to redefine the prospecting operating model, not maintain it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity. This role doesn\u0026#39;t come with a complete playbook. The right candidate is energized by that, not destabilized.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical depth including SQL, comfort with newer data tools (Databricks SQL, Genie, custom agents) and willingness to learn fast.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026quot;Get it done\u0026quot; attitude with the ability to architect program strategy AND operationalize it with high attention to detail.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excels in a collaborative environment with a high degree of honesty, integrity, and sound judgment. You document and teach what you build.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent spoken and written communication. Comfortable presenting to leaders regularly. You produce leader-ready decks, exec summary docs, and quantitative business cases.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What this role isn\u0026#39;t\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Not a pure strategy role. If you want to think but not execute, this isn\u0026#39;t the right role. The operational parts of the job, cadences, reporting, governance, aren\u0026#39;t optional.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Not a maintain-the-current-model role. We need someone who will challenge how prospecting operates in the age of AI and rebuild it from first principles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Not a role for someone uncomfortable with volume, ambiguity, or pace. The program touches the entire sales-development org, and the operating tempo reflects that.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003099002,"name":"Sales Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582991002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428285002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8582991002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R269","title":"Sales Dev AI Program Manager","company_name":"Databricks","first_published":"2026-07-09T12:32:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;SLSQ327R269\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sales Dev AI Programs Team works directly with Databricks\u0026#39; Sales Development and Sales leadership to architect the world\u0026#39;s elite top-of-funnel engine, empowering every xDR and AE with the prospecting tools and programs to convert market potential into predictable revenue.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We sit at the intersection of strategy, AI, and the field, and we own the programs that turn scaled, AI-native prospecting from an experiment into the operating standard.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Sales Dev AI Program Manager to own outcomes and inspection, metric design, measurement and reporting, governance, benchmarking, enablement, content strategy, and change management for an AI-first prospecting program that touches the entire go-to-market organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will design and run the operating mechanisms that make the Scaled AI program work, executive cadences and risk oversight, prioritization with BDR managers and FLMs, sequence governance across AI and legacy Outreach, and the reporting and inspection that tells us what\u0026#39;s working and what isn\u0026#39;t. You deliver the day-to-day program management with exceptional rigor and never lose sight of how an AI-native prospecting model should be built from first principles.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Alongside Sales Dev leadership, you\u0026#39;ll partner across AI Ops, Strategy Ops, Sales Programs, Marketing Ops, Enablement, GTM Analytics, and external technology partners to drive adoption, close the loop on user signals, and continuously raise the bar on program performance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We\u0026#39;re looking for someone who is AI-fluent, operationally rigorous, strategic about how high-volume prospecting should operate, and biased toward redesigning workflows from first principles rather than maintaining legacy ones.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity to define what scaled, AI-native prospecting looks like at one of the fastest-growing companies in tech, and to set the blueprint for the industry.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Programs pillar for one of our four BUs, including outcomes \u0026amp;amp; inspection, metric design, measurement \u0026amp;amp; reporting, governance, benchmarking, enablement, content strategy, and change management.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Co-run executive cadences and risk oversight: deliver regular updates to leadership on program health, pipeline pacing, and adoption, and surface risks early.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive prioritization and alignment: run regular cadences with Sales Dev and Sales leaders to get feedback, prioritize and operate programs (SPIFs, contests, reporting reviews).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own reporting and inspection: build the data foundation and executive- and field-facing reporting that explains what works and what doesn\u0026#39;t across sequences, tactics, and segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own sequence governance: standardize, audit and ongoing management of Outreach sequences (AI driven and non-AI) with central design plus a monthly efficacy review.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build community and adoption: turn passive users into advocates (AI Prospecting Council, advisory boards, personifying the agents, meeting users where they work) and drive field alignment, readiness, and adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Co-own field experience, and alignment with AI Ops, and partner across Sales Ops, Strategy Ops, Marketing Ops, Enablement, GTM Analytics, and IT.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a force multiplier: bring fresh thinking to old problems, build AI-powered toolkits that scale, and raise the technical bar for the whole team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate Programs with overall Sales and Industry Programs, and own the feedback loop.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI fluency is non-negotiable. You use AI tools as part of your daily workflow as a multiplier.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong preference for a \u0026quot;built something where there wasn\u0026#39;t anything\u0026quot; background. Ideal profiles include program or GTM strategy at a hyper-growth company, sales development / prospecting program ownership, chief of staff at a growth-stage startup, and former consultants with operational experience. We want people who thrive where the playbook didn\u0026#39;t exist yet, and built it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional attention to detail \u0026amp;amp; data-integrity instinct. This role requires consistent, high-quality operational delivery: accurate exec-facing work, on-time delivery, status integrity, zero-defect output. You spot discrepancies, trace them to root causes, and won\u0026#39;t ship a number you can\u0026#39;t defend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Program ownership orientation. You want to do the operational parts of the job, not just architect them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic mind for high-volume prospecting. You bring a perspective on how scaled coverage, AI pilots, partner-led motions, and programmatic engagement should operate and you want to redefine the prospecting operating model, not maintain it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity. This role doesn\u0026#39;t come with a complete playbook. The right candidate is energized by that, not destabilized.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical depth including SQL, comfort with newer data tools (Databricks SQL, Genie, custom agents) and willingness to learn fast. Able to translate business requirements into technical terms and partner effectively with AI Ops and Product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026quot;Get it done\u0026quot; attitude with the ability to architect program strategy AND operationalize it with high attention to detail.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excels in a collaborative environment with a high degree of honesty, integrity, and sound judgment. You document and teach what you build.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent spoken and written communication. Comfortable presenting to leaders regularly. You produce leader-ready decks, exec summary docs, and quantitative business cases.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What this role isn\u0026#39;t\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Not a pure strategy role. If you want to think but not execute, this isn\u0026#39;t the right role. The operational parts of the job, cadences, reporting, governance, aren\u0026#39;t optional.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Not a maintain-the-current-model role. We need someone who will challenge how prospecting operates in the age of AI and rebuild it from first principles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Not a role for someone uncomfortable with volume, ambiguity, or pace. The program touches the entire sales-development org, and the operating tempo reflects that.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$108,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$149,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003099002,"name":"Sales Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4002845002,"name":"Chicago, Illinois","location":"Chicago, Illinois","child_ids":[],"parent_id":4056368002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569618002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422904002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569618002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ227R827","title":"Sales Director, Lakebase Sales Specialist - South EMEA","company_name":"Databricks","first_published":"2026-06-11T04:51:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R827\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Sales Director, Lakebase Sales Specialists - South EMEA\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly strategic and execution-oriented \u0026lt;strong\u0026gt;Sales\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;Director, Lakebase Sales Specialists,\u0026lt;/strong\u0026gt; to lead a regional team of specialists responsible for growing the Databricks Lakebase business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Revenue Growth\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the team in replacing or consolidating legacy operational databases onto the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and scale repeatable sales plays that drive land-and-expand adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead and Develop the Specialist Team\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of accountability, execution, and customer focus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute the Developer and Platform Sales Motion\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the regional core field sales team to identify and qualify operational workload opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Customer and Partner Engagement\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position Databricks as a premier application data platform alongside its data and AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cloud providers, SIs, and ISVs to accelerate adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Provide Field Feedback to Product and GTM\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide structured insights on regional customer requirements, competitive dynamics, and blockers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven\u0026amp;nbsp;experience in enterprise software, SaaS, cloud platform, database, or developer platform sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience directly managing high-performing enterprise sales or specialist teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven record of meeting or exceeding revenue targets in highly competitive markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate complex technical platform capabilities into tangible business value for both executives and developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, coaching, and presentation skills in French and in English.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8477547002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6386234002,"location":{"name":"Bengaluru, India; Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8477547002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ427R256","title":"Sales Specialist - Lakebase","company_name":"Databricks","first_published":"2026-04-14T09:36:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ427R256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What success looks like in this role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across two key motions simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive longer-term Postgres standardization and migration within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;What we look for\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8621920002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443234002,"location":{"name":"Heredia, Costa Rica"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Costa Rica SRL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8621920002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R657","title":"SDR","company_name":"Databricks","first_published":"2026-07-10T11:51:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R657\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sales Development Representative at Databricks, you\u0026#39;ll manage your queue of inbound leads, researching them on the internet, calling them to understand their needs, qualifying their interest, and creating opportunities for Account Executives. You will learn to understand the important needs of our prospects and communicate the core values of the Databricks platform with the goal of scheduling a discovery call with them. You will be eager to grow in our organization by demonstrating their ability to be tenacious self-starters every day. We\u0026#39;re looking for goal-driven, team-centric professionals who demonstrate a high level of discipline, curiosity, and grit.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage a high volume of inbound leads with a strategy to prioritize those leads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research and understand the needs of various lines of business and target personas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify technical pain points in prospects\u0026#39; current Data + AI solutions and connect to value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn how to anticipate and overcome objections\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build credibility and trust with partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate adaptability and flexibility as part of an ever-growing sales organization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1 year of professional work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear written and verbal communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent organization skills and ability to prioritize in a fast-paced environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-motivated individual with a history of meeting goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by purpose and winning with a team-first attitude\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity in the Cloud, big data and ML/ AI space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003099002,"name":"Sales Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056203002,"name":"Costa Rica","location":"Costa Rica","child_ids":[4057115002,4057122002],"parent_id":4104404002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8091041002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6204776002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8091041002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1439","title":"Senior Applied AI Engineer","company_name":"Databricks","first_published":"2025-08-15T04:37:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1439\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks\u0026#39; infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build features and run end-to-end systems in a small team of experienced engineers and data scientists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape the direction of our applied ML investment by engaging with engineering and product teams across the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work on novel modeling techniques in the field of ML for forecasting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2-8 years of machine learning engineering experience in high-velocity, high-growth companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of both computer systems and statistics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing AI/ML systems at scale in production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of ML modeling that goes beyond using standard libraries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: experience deploying, scaling, and monitoring models in production; understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Us?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8194599002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6247797002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8194599002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"CSQ426R319","title":"Senior Customer Enablement AI Programs Manager","company_name":"Databricks","first_published":"2025-10-10T06:29:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ426R319\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Senior Customer Enablement AI Programs Manager\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Customer Enablement AI Programs Manager, you will own the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite — bringing together GTM activation, applied AI, and enablement strategy. You will define how the agents retrieve, reason over, and surface enablement insights to global Account Teams, turning learner and account data into prescriptive, just-in-time recommendations that improve account health and grow the number of trained users across our customer base.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;By automating GTM processes, you will ensure Account Teams and customers receive consistent Databricks enablement planning resources. You will be responsible for driving the AI roadmap for customer enablement, compounding enablement as a strategic leverage for our customers and for Databricks.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will report to the Global Customer Enablement Practice Senior Director. This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for working across departments and across regions.\u0026amp;nbsp;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the product roadmap and architecture direction for the Scaled Customer Enablement Agent Suite — defining the data inputs, retrieval sources, and agent behaviors that generate enablement recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the rollout and drive field adoption of the Scaled Customer Enablement Agent Suite, delivering automated learning insights and proposals to Account Teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structure the enablement knowledge base for retrieval — designing content schemas, metadata, and chunking so agents return accurate, grounded outputs — and maintain the underlying customer enablement playbook.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the signals and triggers — usage patterns, learning milestones, and account-health thresholds — that prompt the agents to surface a free-to-paid enablement opportunity to Account Teams at the right moment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with technical teams to embed enablement calls-to-action and insights directly into field tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define predictive signals and analytics that flag emerging account-health and skills gaps before they impact renewals or consumption, and integrate these into leadership reviews and manager coaching toolkits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish evaluation and quality loops for agent outputs — defining what “good” looks like, measuring accuracy and groundedness, and driving iteration with the technical team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of managing complex workstreams and delivering global field motions with measurable adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on fluency with modern AI systems — RAG pipelines, agents, and LLM-powered workflows. You understand how retrieval sources, prompt design, context and data hierarchies, and grounding affect output quality, and can translate that into requirements a technical team can build against.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience owning a product or system area end to end — defining requirements, collaborating with engineering and data teams, and shipping AI-powered capabilities from concept to field adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort defining metrics and running experiments — instrumenting agent performance, measuring output quality and field adoption, and using analytics to drive iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional ability to work cross-functionally across Sales, Marketing, and Technical teams to ensure a unified enablement vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert at using data dashboards to track progress and communicate the \u0026quot;business story\u0026quot; behind the numbers (e.g., the link between enabled users and consumption lift).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Able to solve ambiguous problems in a fast-moving environment and translate complex strategies into simple, executable field instructions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the education technology or customer training landscape is a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with how enablement and knowledge content must be structured for machine consumption (schemas, metadata, modularity) is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$117,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$161,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$105,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$145,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$99,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$137,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$93,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$129,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8520123002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6403191002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8520123002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ128R2","title":"Senior Customer Enablement Architect","company_name":"Databricks","first_published":"2026-04-29T18:15:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ128R2\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re on a mission to help data and AI teams solve the world’s toughest problems and that starts with empowering our customers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Customer Enablement team drives this mission forward by helping enterprise organizations develop the skills they need to accelerate adoption, transformation, and measurable business outcomes. As a Customer Enablement Architect, you’ll own the commercial success of Databricks’ training and enablement portfolio across the Americas Business Units.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Americas Customer and User Enablement Leader, we are looking for a US-based Customer Enablement Architect to work with cross-functional teams, including Sales, Field Engineering, Professional Services and Scaled User Enablement to position the value of Databricks training, develop custom enterprise learning plans and drive talent transformation with strategic accounts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly visible, customer-facing role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. You’ll work closely with account executives, engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer’s data and AI journey. From diagnosing skill gaps to building tailored enablement roadmaps, you’ll ensure our customers have the knowledge and confidence to realize the full value of their Databricks platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales and customer success teams to position learning as a key lever of customer adoption, renewal, and expansion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate customer goals into tailored enablement programs that accelerate transformation and ROI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the end-to-end lifecycle of customer training programs—from discovery and design through execution and post-program analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct learning diagnostics to identify skill gaps and adoption blockers, using data to design impactful training strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver high-quality, blended learning experiences (virtual, classroom, and on-demand) that achieve measurable customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and report on enablement success metrics, including adoption, renewal influence, and revenue impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor colleagues across the Learning \u0026amp;amp; Enablement organization, sharing best practices and driving excellence in customer engagement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a \u0026#39;Builder\u0026#39;—someone who pairs a deep curiosity for the evolving Data \u0026amp;amp; AI landscape with a relentless drive for execution. You don\u0026#39;t just deliver existing programs; you identify whitespace and pilot creative enablement strategies that challenge the status quo. You will transform vision into reality by staying curious about customer roadblocks and innovating new ways to bridge the gap between technical potential and tangible business value.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of the Americas enterprise landscape, industry verticals, and cultural nuances in driving customer engagement and training adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in program management, enablement strategy, and learning \u0026amp;amp; development design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, relationship building, and consultative sales skills with fluency in English.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Results-driven mindset with the ability to balance customer satisfaction and revenue goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to learn new technologies quickly and apply creative solutions to territory-specific customer roadblocks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of identifying regional whitespace and building scalable enablement frameworks that influence the broader organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$143,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$197,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$129,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$177,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$122,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$167,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$115,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$158,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8535311002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6408807002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8535311002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ427R4","title":"Senior Customer Enablement Program Manager","company_name":"Databricks","first_published":"2026-05-12T14:58:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R4\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Senior Customer Enablement Program Manager, New Learning Experiences\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Program Manager within the Global Scaled User Enablement Practice, you will have the unique opportunity to design and launch new learning experiences that expand how Databricks enablement upskills and activates users globally.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Global Scaled User Enablement Practice Leader and will own the strategy and execution of new scaled user learning programs, from pilot to global scale. You will bring an AI-first mindset to how learning is designed and delivered. Leveraging data, automation, and intelligent tooling to scale impact, while never losing sight of the human experience at the center of every program. You will leverage your expertise in program management, AI \u0026amp;amp; data science, or equivalent enterprise technologies and stakeholder engagement to build compelling enablement experiences and drive adoption across GTM teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for building new learning programs from the ground up and working across departments and regions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and launch new learning programs end-to-end in close partnership with with teams across Learning \u0026amp;amp; Enablement, Operations, Regional Business and GTM - Marketing, Sales and Field Engineering\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and scale innovative learning programs within Databricks Free Edition, turning the platform into a world-class entry point for Learner growth and User adoption globally\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define learning initiatives for emerging technical audiences, such as App Developers and Database Admins, in close partnership with Product, Content Development, and Regional Program Managers to design, pilot, and scale learning programs globally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track program performance and drive accountability through data-driven reporting and actionable insights \u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of technical program management and stakeholder management experience in an enterprise technology company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Impact-driven with a growth mindset, embraces change, adapts quickly, and see ambiguity as an opportunity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and launching new programs or pilots from zero to one, with the ability to navigate ambiguity and work independently with minimal direction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Big Data, AI, data science, or equivalent enterprise technologies preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to develop compelling stories based on data and motivate stakeholders and leaders to action\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience creating scalable and simple processes and resources that are adopted by cross-functional teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in or with product and go-to-market teams, such as professional services, customer success, marketing, sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of enablement programs and training methodologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communications and presentation skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$117,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$161,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$105,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$145,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$99,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$137,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$93,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$129,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604579002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436779002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8604579002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ227R17","title":"Senior Data and AI Engineer - Finance","company_name":"Databricks","first_published":"2026-07-01T06:11:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks\u0026#39; Finance and Accounting organisation. This is part of the Finance org. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is ideal for someone who is technically strong, eager to go deep on the Databricks Platform, and excited to apply modern data and AI tooling to real Finance problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain finance data pipelines in the Finance DataLake using Databricks Jobs and Lakeflow Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service analytics for Finance stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the implementation of row-level security and data access policies across Finance DataLake datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Accounting, FP\u0026amp;amp;A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support financial close by monitoring pipelines, investigating data issues, and escalating as needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in UAT for new system integrations and assist with technical documentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in data engineering, analytics engineering, or finance systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience connecting to and ingesting from financial source systems (NetSuite, Salesforce, Stripe, Zuora, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate Finance requirements into clean, maintainable technical solutions with guidance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable communicating across technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience contributing to BI dashboards and self-service data products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity about AI/ML and interest in applying new techniques to Finance workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at a high-growth SaaS or cloud infrastructure company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI/BI tools, Genie, or LLM-powered applications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5634684002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5038644002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5634684002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-191","title":"Senior Data Scientist ","company_name":"Databricks","first_published":"2026-05-27T17:14:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production \u0026quot;customer\u0026quot; that dogfoods Databricks and drives the future direction of the products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you are interested in machine learning infrastructure, please apply to the\u0026lt;a href=\u0026quot;https://databricks.com/company/careers/open-positions/job?gh_jid=4507262002\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt; Software Engineer Backend job opening here.\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build self-serving internal data products to make data simple within the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in applying Data Science / ML in production to build data-driven products for solving business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in data analysis and visualization using tools like R and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H\u0026amp;amp;M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world\u0026#39;s toughest problems. To learn more, follow Databricks on \u0026lt;a href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;, \u0026lt;a href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt; and \u0026lt;a href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$123,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$218,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8564166002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6416893002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8564166002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"P-1553","title":"Senior Designated Support Engineer","company_name":"Databricks","first_published":"2026-05-26T03:22:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1553\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks\u0026#39; largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Discover requirements for continuous monitoring to detect early performance issues working with R\u0026amp;amp;D and NOC teams to optimize the DNB customer environments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Expertise in Big Data and Spark:\u0026lt;/strong\u0026gt; 5 – 8 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Engineering Specialization:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Tech Skills\u0026lt;/strong\u0026gt;: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and CI/CD Skills:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Experience:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Proactive Problem Solving Skills\u0026lt;/strong\u0026gt;: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration and Leadership:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4033855002,"name":"India","location":"India","child_ids":[4084805002,4056344002,4056342002,4056343002,4056341002,4007112002],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8590005002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6430878002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8590005002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R442","title":"Senior Director, Global Accenture Lead","company_name":"Databricks","first_published":"2026-06-12T19:07:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R442\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Consulting \u0026amp;amp; Systems Integrator (C\u0026amp;amp;SI) team accelerates Databricks\u0026#39; growth by building and managing relationships with the leading data technology services companies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, as our Global Accenture Lead, you will drive a high-performing partnership focused on the strategic go-to-market motions with the Accenture Databricks Business Group (ADBG) to accelerate the business and manage a global team. You will lead this global partnership and implement a cohesive strategy to grow an iconic partnership focused on expanding mindshare, growing revenue, scaling the newly formed ADBG, and driving joint innovation.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Vice President of System Integrator Partners\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will manage a team of global alliance professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will expand and develop a partnership focused on delivering predictable and recurring growth within a mutually defined plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will engage the C-Suite at Accenture to build out the Global Strategy and Business Plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will help accelerate Databricks\u0026#39; and the partner\u0026#39;s adoption within new opportunities and use case expansion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop a training strategy resulting in practice growth and knowledge expansion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will secure investment and establish programs around repeatable IP and solution investments, resulting in essential go-to-market plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will launch go-to-market events and mindshare activities that promote joint customer adoption and new logos\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create and foster executive-level relationships at all levels within the partnership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create a mutually structured plan and track key metrics that address the needs of partners and key team members across sales, customer success, training, marketing, and product.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience in securing and supporting partnerships at a global scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of success managing a Global Team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;In-depth understanding of alliance/partner organization, key stakeholders, overall strategy, company culture, market offering and joint value proposition.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience launching/driving results with an Accenture Business Group\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain experience in enterprise infrastructure, cloud and analytics space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Global SI partner management experience spanning AMER, EMEA \u0026amp;amp; APAC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working and building unique channel relationships and complex contract negotiations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving results in a hyper-growth, multi-billion-dollar enterprise organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$260,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$357,425 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$260,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$357,425 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$260,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$357,425 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$260,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$357,425 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076800002,"name":"Exec Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7495457002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5673558002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7495457002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-995","title":"Senior Engineering Manager - Backend ","company_name":"Databricks","first_published":"2024-07-02T01:49:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;small\u0026gt;P-995\u0026lt;/small\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work with your team to \u0026lt;strong\u0026gt;build infrastructure and products for the Databricks platform at scale\u0026lt;/strong\u0026gt;. We have multiple teams working on different domains.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools to allow Databricks engineers to operate their services across different clouds and environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build services, products and infrastructure at the intersection of machine learning and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire great engineers to build an outstanding team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support engineers in their career development by providing clear feedback and develop engineering leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure \u0026lt;strong\u0026gt;high technical standards\u0026lt;/strong\u0026gt; by instituting processes (architecture reviews, testing) and culture (engineering excellence).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engineering and product leadership to build a long-term roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate execution and collaborate across teams to unblock cross-cutting projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;12+ years\u0026lt;/strong\u0026gt; of extensive \u0026lt;strong\u0026gt;experience with large-scale distributed systems\u0026lt;/strong\u0026gt; alongside the processes around testing, monitoring, SLAs etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience as a \u0026lt;strong\u0026gt;Software Engineering Leader\u0026lt;/strong\u0026gt; , \u0026lt;strong\u0026gt;building \u0026amp;amp; scaling software engineering teams\u0026lt;/strong\u0026gt; from ground up\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience \u0026lt;strong\u0026gt;managing a team of strong software engineers\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with PM, Sales, and Customers to develop innovative features \u0026amp;amp; products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7987658002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6159953002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7987658002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ225R488","title":"Senior Engineering Manager for Workspace Platform","company_name":"Databricks","first_published":"2025-06-12T18:26:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ225R488\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Workspace Platform team is on an ambitious mission to scale our customer base 100x and support the future of agentic AI workloads. Our goal is to build a unified, consistent, and foundational Shared Platform for the entire Databricks Workspace experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization (akin to Google Drive), Collaborative code editing, and Repository management (akin to Github). This is a high-impact, exciting opportunity to guide a team of ~20 software engineers in creating platform features, intuitive workspace experiences, and partner integrations that are essential to Databricks\u0026#39; expansion and user adoption.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategy \u0026amp;amp; Vision\u0026lt;/strong\u0026gt;: Define and drive the technical strategy for the Workspace Platform, including building over 16 shared capabilities that underpin the entire Databricks experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execution Ownership\u0026lt;/strong\u0026gt;: Own the roadmap, execution, and delivery for the platform, ensuring all team deliverables meet the highest standards of quality and timeliness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineering Excellence:\u0026lt;/strong\u0026gt; Establish and enforce team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations for high-volume distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt; Partner closely with teams across the organization, including those developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards, UC Platform) and core infrastructure, to ensure seamless integration and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 15+ years of software engineering experience with a strong track record of technical leadership and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Management:\u0026lt;/strong\u0026gt; 5+ years of engineering management experience, including experience managing other managers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scaling:\u0026lt;/strong\u0026gt; Proven experience scaling engineering teams from 10 to 30+ engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platform Expertise:\u0026lt;/strong\u0026gt; Experience leading platform teams and backend developers in a SaaS environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Depth:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and building scalable distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with building services on top of containerization technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in distributed systems, major cloud platforms (AWS, Azure, GCP), and modern web application architectures.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration:\u0026lt;/strong\u0026gt; Strong ability to collaborate across product, engineering, and business teams to align technical strategy with core company growth objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Passion:\u0026lt;/strong\u0026gt; A passion for building and scaling robust, high-performance platforms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$312,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8180690002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5720840002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8180690002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1107","title":"Senior Engineering Manager - Trust and Safety","company_name":"Databricks","first_published":"2025-09-22T14:12:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1107\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Customers trust Databricks with their most valuable data, and Trust \u0026amp;amp; Safety has the mission to build the most trusted Data and AI platform in the world. Security Foundation Engineering is a cornerstone of this mission in protecting our platform and customers from evolving threats. We are looking for a Senior Engineering Manager to lead this area and set the direction for how security is built into every layer of our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and scale a high-performing engineering team focused on Security, Access, and Regulatory Compliance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the team and company to win the regulatory market by making the platform secure and compliant.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and execute the strategy for secure frameworks, primitives, and tooling used across Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with engineering and product leaders across the company to ensure security/compliance by design in all new initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical oversight for secure system design and guide efforts to reduce technical debt in core security components.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks and our security practices internally to senior leadership and externally to the industry.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of the relevant domains and infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success driving cross-functional initiatives that require influencing without direct authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and leadership skills, with the ability to evangelize security and inspire teams and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, or PhD in Computer Science or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$288,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8554840002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6417047002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8554840002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R33","title":"Senior Field Technical Program Manager, Professional Services","company_name":"Databricks","first_published":"2026-06-25T04:24:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R33\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. As a Senior TPM, you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architecting Standards\u0026lt;/strong\u0026gt;: You will install operating rigor (cadence, metrics, reviews) that doesn\u0026#39;t just serve one project, but becomes a \u0026quot;gold standard\u0026quot; adopted by other TPMs across the region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Synergy\u0026lt;/strong\u0026gt;: You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Risk Leadership\u0026lt;/strong\u0026gt;: You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Knowledge Multiplication\u0026lt;/strong\u0026gt;: You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience\u0026lt;/strong\u0026gt;: 8–12+ years leading large-scale technical programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Fluency\u0026lt;/strong\u0026gt;: Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Strategy\u0026lt;/strong\u0026gt;: Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Senior Leadership\u0026lt;/strong\u0026gt;: Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scope\u0026lt;/strong\u0026gt;: Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056387002,"name":"Remote - France","location":"Remote - France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8501125002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6395750002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8501125002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"CSQ327R186","title":"Senior Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-05-11T05:11:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R186\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367942002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340672002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8367942002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R149","title":"Senior Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-01-14T05:08:46-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID: CSQ127R149\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: London, United Kingdom - Hybrid\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter: Dina Hussain\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring for multiple roles within our FDE team.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer\u0026#39;s successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers\u0026#39; needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: bold;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering / full stack development\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification - an advantage\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8598430002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6434172002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8598430002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"CSQ327R148","title":"Senior Forward Deployed Engineer - Full stack","company_name":"Databricks","first_published":"2026-06-18T12:40:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requisition # CSQ327R148\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8556371002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6417680002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8556371002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R154","title":"Senior Forward Deployed Engineer - Full stack","company_name":"Databricks","first_published":"2026-06-04T06:18:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ427R154\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8396801002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352204002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8396801002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ127R254","title":"Senior Forward Deployed Engineer, Full Stack","company_name":"Databricks","first_published":"2026-01-30T12:29:19-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID: FEQ127R254\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: Hybrid – London\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification preferred but not essential\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105412002,"name":"Field Engineering - BIF","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569518002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422854002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8569518002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R345","title":"Senior Lakebase Sales Specialist (Central)","company_name":"Databricks","first_published":"2026-06-05T12:34:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R345\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking multiple \u0026lt;strong\u0026gt;Senior Lakebase Sales Specialists (Central)\u0026amp;nbsp;\u0026lt;/strong\u0026gt;to help customers modernize their operational data foundation with \u0026lt;strong\u0026gt;Databricks Lakebase\u0026lt;/strong\u0026gt;, our \u0026lt;strong\u0026gt;fully-managed Postgres\u0026lt;/strong\u0026gt; offering for \u0026lt;strong\u0026gt;intelligent applications\u0026lt;/strong\u0026gt;. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase gives customers a unified, governed foundation for \u0026lt;strong\u0026gt;operational workloads\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;AI-native applications\u0026lt;/strong\u0026gt;, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is based in Munich, Germany (flexible within Germany for the right candidate), and will cover customers in the Central region (Germany, Switzerland, Austria, Eastern Europe).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive new Lakebase revenue\u0026lt;/strong\u0026gt; by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead with outcomes\u0026lt;/strong\u0026gt; for key Lakebase personas — including \u0026lt;strong\u0026gt;platform teams and developers\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data teams\u0026lt;/strong\u0026gt;, and \u0026lt;strong\u0026gt;central IT\u0026lt;/strong\u0026gt; — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Sell the value of fully-managed Postgres for intelligent applications\u0026lt;/strong\u0026gt;, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run complex, multi-threaded sales cycles\u0026lt;/strong\u0026gt; from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate proof-of-value and POCs\u0026lt;/strong\u0026gt; that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Compete and win\u0026lt;/strong\u0026gt; against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Align to measurable business outcomes\u0026lt;/strong\u0026gt; such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable the field\u0026lt;/strong\u0026gt; by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What success looks like in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires the ability to operate across \u0026lt;strong\u0026gt;two key motions\u0026lt;/strong\u0026gt; simultaneously:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish top strategic focus accounts\u0026lt;/strong\u0026gt; by engaging application development teams to create net-new intelligent applications leveraging Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive longer-term Postgres standardization and migration\u0026lt;/strong\u0026gt; within Databricks\u0026#39; most strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Candidates should demonstrate how they can \u0026lt;strong\u0026gt;act as a force multiplier\u0026lt;/strong\u0026gt; across multiple dimensions of the business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Success in this role requires strength in four areas:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Business ownership\u0026lt;/strong\u0026gt; – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic account engagement\u0026lt;/strong\u0026gt; – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Field, account, \u0026amp;amp; customer enablement: \u0026lt;/strong\u0026gt;Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Market voice and thought leadership\u0026lt;/strong\u0026gt; – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;The interview process is designed to evaluate candidates across all four of these dimensions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years of enterprise SaaS sales experience\u0026lt;/strong\u0026gt;, consistently exceeding quota in complex, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success selling \u0026lt;strong\u0026gt;data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure\u0026lt;/strong\u0026gt; to technical buyers and business leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;modern data and application architectures\u0026lt;/strong\u0026gt;, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both \u0026lt;strong\u0026gt;technical stakeholders\u0026lt;/strong\u0026gt; (developers, architects, data engineers) and \u0026lt;strong\u0026gt;business stakeholders\u0026lt;/strong\u0026gt; (product leaders, operations, line-of-business owners).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience leading \u0026lt;strong\u0026gt;specialist or overlay motions\u0026lt;/strong\u0026gt;, working jointly with core Account Executives to create and progress opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to \u0026lt;strong\u0026gt;whiteboard architectures\u0026lt;/strong\u0026gt;, lead C-level conversations, and build trust with senior decision makers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong \u0026lt;strong\u0026gt;value selling\u0026lt;/strong\u0026gt; skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;communication, storytelling, and negotiation\u0026lt;/strong\u0026gt; skills, with comfort presenting to both large and small audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling \u0026lt;strong\u0026gt;Postgres, operational databases, OLTP workloads, or transactional cloud database services\u0026lt;/strong\u0026gt;, ideally within large or strategic accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;data platforms, lakehouse architectures, and cloud ecosystems\u0026lt;/strong\u0026gt; (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of \u0026lt;strong\u0026gt;reverse ETL, real-time decisioning, and operational analytics\u0026lt;/strong\u0026gt; use cases, and how they drive value for customer-facing and internal applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;AI-native and agent-driven applications\u0026lt;/strong\u0026gt; that depend on low-latency, highly scalable operational data services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in a \u0026lt;strong\u0026gt;high-growth, category-creating environment\u0026lt;/strong\u0026gt;, helping shape new plays, messaging, and customer narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with \u0026lt;strong\u0026gt;partners and ISVs\u0026lt;/strong\u0026gt; to drive joint pipeline and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6954585002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5625189002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6954585002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-984","title":"Senior Machine Learning Engineer - GenAI Platform ","company_name":"Databricks","first_published":"2023-09-29T17:33:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-984\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Summary:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user-facing features to low-level GPU orchestration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and build the core platform infrastructure that supports our customer-facing product features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of distributed systems design and experience building large-scale systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience developing ML models is a plus but not required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;We value candidates who are curious about all parts of the company\u0026#39;s success and are willing to learn new technologies along the way.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8613573002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440135002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8613573002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R621","title":"Senior Manager,  Emerging Enterprise (DACH)","company_name":"Databricks","first_published":"2026-07-02T09:10:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R621\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest business problems with Data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Senior Manager, Emerging Enterprise (DACH) to join our world-class, hyper-growth organisation. In this first line leadership position, you will define the go to market strategy, business plan and cohesive sales strategy for the DACH region, in order to meet annual business segment goals and KPIs. You will lead and grow a team of experienced Emerging Enterprise Account Executives in growing a productive and sustainable business in this pivotal territory. This role is based in Germany.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will build, own and implement revenue plans to exceed sales targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team team to effectively communicate the Databricks value proposition and understand how this relates to customer goals\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will manage alignment of Account Executives within their territories, ensuring adherence to Databricks sales processes and achievement of quota\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will drive efficiencies and productivity across your territory, guiding Account Executives on accurate forecasting, pipeline development and activity tracking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will support strategically important accounts within your territory, providing leadership to the sales team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will align with the leadership team on quota setting and territory carving\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will raise the bar with hiring and development objectives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create long-term trust-based relationships with employees, partners, and cross functions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will calibrate and align performance expectations across your teams in a constructive, motivating manner\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong first line management experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sales experience in Data and AI or technology sales experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;In-depth knowledge of how software is positioned and sold to IT and/or Data executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written, verbal, presentation, and organizational skills, with the ability to articulate and evangelize the value of Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passionate about coaching and developing talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience launching initiatives to create impact at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ideally will have had exposure to the Startup, Emerging Enterprise and/or Digital Native space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business fluency in English and German\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604577002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436778002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8604577002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ426R192","title":"Senior Manager, Finance Data and AI","company_name":"Databricks","first_published":"2026-07-01T05:58:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ426R192\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal\u0026quot;\u0026gt;As Senior Manager, Finance Data and AI, you will lead the design, development, and delivery of data pipelines, AI use cases, and internal applications that power Databricks\u0026#39; Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI \u0026amp;amp; Strategy, with visibility to CFO-level priorities, and serve as the technical anchor for a team that bridges financial operations and modern data engineering. This individual is expected to be based in Bengaluru.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal\u0026quot;\u0026gt;This is a high-impact role at the intersection of finance domain expertise and data platform capability — less about writing distributed systems from scratch, and more about building purposeful, reliable solutions on top of the Databricks platform and Finance DataLake to accelerate Finance.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal\u0026quot;\u0026gt;You will be embedded in a Finance organization that takes data and AI seriously. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify, scope, and deliver AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reports and dashboards for monthly, quarterly, and executive-level reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Accounting, FP\u0026amp;amp;A, Internal Audit, and Procurement teams to understand business requirements and translate them into scalable technical solutions within the Finance DataLake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide support during financial close and ensure timely resolution of data-related issues\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish coding, data management, and documentation standards and best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across both technical (engineering, data platform) and non-technical (Accounting, FP\u0026amp;amp;A) stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML concepts and enthusiasm for applying them to Finance workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at a high-growth SaaS or cloud infrastructure company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to AI/BI tools, Genie, or LLM-powered applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CPA, CFA, or formal finance/accounting background\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439078002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371055002,"location":{"name":"Remote - France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8439078002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R55","title":"Senior Manager, Forward Deployed Engineering (Full Stack) x 2 New roles","company_name":"Databricks","first_published":"2026-02-26T06:52:11-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID: CSQ327R55\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;2 x New roles\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: Remote - France\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world\u0026#39;s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As\u0026amp;nbsp;\u0026lt;strong\u0026gt;Manager, Forward Deployed Engineering\u0026lt;/strong\u0026gt;, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks\u0026#39; most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a people leader, you will build and scale a team that represents Databricks\u0026#39; highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE \u0026amp;amp; AI Engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056387002,"name":"Remote - France","location":"Remote - France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8583146002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428352002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8583146002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"P-1562","title":"Senior Manager, Global Premier Support","company_name":"Databricks","first_published":"2026-06-09T11:26:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1562\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire, onboard, and develop a top-tier team of designated support engineers (DSE)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to program enhancements and offerings tailored to evolving customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct internal and external Support Experience QBRs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of industry experience, with at least 7+ years of management experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work with strategic customers driving multiple completing priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, and Engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with influencing senior executives and and senior customer leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;B.S degree in Computer Science or a related field is required (M.S. preferred)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8301830002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6309952002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8301830002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1494","title":"Senior Manager, Identity \u0026 Access Management (IAM)","company_name":"Databricks","first_published":"2025-11-20T15:03:07-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;P-1494\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H\u0026amp;amp;M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;For more information, visit \u0026lt;a href=\u0026quot;https://www.databricks.com\u0026quot;\u0026gt;www.databricks.com\u0026lt;/a\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;We are looking for an experienced and forward-thinking Senior Manager of Identity \u0026amp;amp; Access Management (IAM) to lead the teams responsible for building and operating our enterprise-wide identity, authentication, authorization, and access governance systems. This leader will own the strategy, architecture, and execution of IAM capabilities that support our employees, customers, and platform services at global scale.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;As the company grows, IAM is becoming a foundational pillar of our security posture and customer trust. You will ensure that our identity systems are secure, scalable, easy to use, and aligned with Zero Trust principles. This is a highly cross-functional leadership role partnering with engineering, security, IT, compliance, and product teams to deliver identity services that are reliable and secure by default.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Strategic Leadership\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define the long-term IAM strategy, roadmap, and operating model across the enterprise and product ecosystem.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Build scalable identity foundations that support global growth, cloud expansion, and evolving business needs.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Establish best practices for identity lifecycle management, authentication, authorization, provisioning, and governance.\u0026lt;/span\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Build and Lead High-Performing Teams\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Manage and grow IAM engineering and operations teams responsible for identity services, infrastructure, and tooling.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Mentor technical leads and engineers; foster a high-performance and high-accountability culture.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Develop effective team structures and prioritize workstreams aligned to business and security priorities.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;IAM Architecture \u0026amp;amp; Engineering\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Lead the design and implementation of IAM capabilities including:\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Single Sign-On (SSO), MFA, and federated identity\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Privileged Access Management (PAM)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Identity lifecycle automation\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Directory services and identity stores\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Just-in-time access and least-privilege models\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Drive modernization of legacy systems and implementation of Zero Trust identity principles.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ensure scalability, high availability, and strong security controls across all identity platforms.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Governance, Compliance \u0026amp;amp; Risk\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Own identity governance programs including access reviews, audit readiness, onboarding/offboarding controls, and policy enforcement.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Partner with compliance, risk, and legal teams to meet regulatory requirements (SOC2, ISO, FedRAMP, SOX, GDPR, etc.).\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ensure operational rigor, strong documentation, and sustainable controls that withstand audits and customer expectations.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Partnership\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Work closely with IT, Product Security, Cloud Infrastructure, and Engineering to embed identity best practices throughout the organization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Collaborate with product teams to ensure customer-facing identity capabilities are secure, intuitive, and scalable.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Build strong relationships with internal stakeholders and serve as a trusted advisor on identity issues.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You Bring\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;8–12+ years of experience in security, identity engineering, or related technical fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Deep technical expertise in modern IAM technologies, directories, authentication protocols (SAML, OIDC, OAuth), and identity standards.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Hands-on architecture or engineering experience within cloud environments (AWS/GCP/Azure).\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience implementing Zero Trust identity models and privileged access management frameworks.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong understanding of identity governance, compliance requirements, and audit processes.\u0026lt;/span\u0026gt;\u0026lt;br\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Proven track record of leading high-performing teams and delivering complex, cross-functional programs.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Excellent communication, influencing, and stakeholder management skills.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Why Join Us\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Lead and shape the future of the company’s identity strategy during a period of rapid growth.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Work on highly impactful, company-defining initiatives that protect our people, platform, and customers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Solve complex IAM challenges across cloud, SaaS, and hybrid environments.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$264,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7641390002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6005468002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7641390002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"RDQ225R487","title":"Senior Manager, Infrastructure Data Science","company_name":"Databricks","first_published":"2024-11-18T16:34:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ225R487\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience.\u0026amp;nbsp; You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of management experience hiring and developing teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of statistics and rigorous analytical techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias to action and passion for delivering high-quality data solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for problem-solving and comfort with ambiguity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7734812002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6005468002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7734812002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"RDQ225R487","title":"Senior Manager, Infrastructure Data Science","company_name":"Databricks","first_published":"2024-11-18T16:36:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ225R487\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience.\u0026amp;nbsp; You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of management experience hiring and developing teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of statistics and rigorous analytical techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias to action and passion for delivering high-quality data solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for problem-solving and comfort with ambiguity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7845325002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6094077002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":7845325002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1377","title":"Senior ML \u0026 AI Technical Solutions Engineer ","company_name":"Databricks","first_published":"2025-02-05T11:40:51-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1377\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform.\u0026amp;nbsp; You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving.\u0026amp;nbsp; You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue.\u0026amp;nbsp; TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks.\u0026amp;nbsp; Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team\u0026#39;s output.\u0026amp;nbsp; Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases \u0026amp;amp; challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embeddings, semantic search, Vector Search/Lakebase databases, context orchestration, memory management, and prompt engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with internal teams to influence roadmap, product improvements and support business growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation, or by teaching our AI systems new skills, which will be used internally and externally by customers and partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;8+ years of experience designing, building, and scaling Data, Machine Learning, and AI systems on-premises and in the cloud using Python, Scala, and Java in production environments, with expertise in Machine Learning and/or generative AI. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus. Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies. Proficient in working with algorithms and deep learning, along with NLP techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience building, designing or troubleshooting LLM-based Generative AI applications. Familiarity with agentic frameworks (e.g., LangChain, LangGraph etc). Expertise in context orchestration, including prompt design, memory management, retrieval systems, vector embeddings, semantic search, and tool integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive Knowledge of MLOps and LLMOps with expertise in model evaluation, scoring, ranking, optimisation, training, validation, and packaging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior support or customer-facing experience is not required for this role, but the ability and desire to develop excellent customer service skills are.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in Data Scientist, ML Engineer, or AI Engineer roles is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Professional certifications are good to have.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604591002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436785002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604591002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R161","title":"Senior Payroll Accountant","company_name":"Databricks","first_published":"2026-07-01T08:17:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;GAQ327R161\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The \u0026lt;strong\u0026gt;Senior Payroll Accountant\u0026lt;/strong\u0026gt; plays a critical role in executing the day-to-day and month-end accounting tasks associated with Databricks\u0026#39; global payroll. As part of the Global Accounting organization and reporting directly to the Payroll Accounting Manager based in India, you will tackle complex reconciliations, execute detailed variance analysis, and drive process improvements. The ideal candidate is a highly analytical self-starter with a keen eye for detail who thrives in a fast-paced, high-growth environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prepare and record comprehensive payroll journal entries, including salaries, bonuses, commissions, stock-based compensation, benefits, and multi-state/international taxes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare accurate monthly balance sheet reconciliations for assigned accounts, proactively identifying and resolving any variances or discrepancies within the close period.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform monthly payroll flux analysis, identifying and investigating drivers behind significant period-over-period movements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare payroll accounting for equity compensation programs such as RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the general ledger.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute payroll accounting across global entities, with exposure to high-complexity jurisdictions, including Netherlands, Brazil, France, Germany, and India, ensuring accurate accounting treatment and local compliance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with the Payroll Operations team to research and resolve discrepancies between the payroll register and the general ledger.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support annual local statutory audits, consolidated external audits, and internal SOX requests; help maintain a documented system of accounting policies and procedures (SOPs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Manager and cross-functional teams (Legal, External Advisors) to set up accounting processes and systems for new international subsidiaries and locations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead testing and implementation of updates to cloud-based payroll and accounting systems; perform ad hoc financial analysis and drive process improvement projects to increase efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support AI and automation initiatives across payroll accounting, including reconciliation tooling, variance detection, and process improvements that reduce manual work.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6-8 years of general accounting experience, with a minimum of 4+ years dedicated specifically to payroll accounting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Chartered Accountant (CA) or CPA equivalent certification is strongly preferred.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with equity compensation accounting (RSUs, stock options, ESPP) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting annual statutory audits and the partnership skills necessary to collaborate effectively with local and remote teams across various time zones\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to global payroll jurisdictions, particularly high-complexity countries such as Netherlands, Brazil, France, Germany, and India, is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with cloud-based accounting systems and a strong working knowledge of US GAAP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience or strong interest in driving automation and AI adoption in payroll or accounting operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience partnering with local accounting teams to file statutory accounts and the flexibility to support remote teams across different geographic areas, including with US-based accounting teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635216002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448753002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8635216002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"P-1580","title":"Senior Software Engineer, AI Native Web Platform","company_name":"Databricks","first_published":"2026-07-15T16:33:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1580\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About Us:\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The Role:\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As Senior Software Engineer, AI Native Web Platform on the Web Engineering team, you will build and scale the platform layer that Web Engineering builds on: framework, infrastructure, CI/CD, and deployment pipelines. You will work under the direction of the Staff Software Engineer and contribute to a unified, agentic-ready foundation that shifts platform maintenance from per-surface effort to a centralized, scalable system.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and scale platform infrastructure including CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations that power all of databricks.com\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own accessibility testing in CI, bringing automated a11y validation into the deployment pipeline so accessibility is enforced at every release rather than caught after the fact\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement consent management infrastructure at the platform layer, replacing fragmented per-surface implementations with a centralized, policy-driven system that enforces compliance automatically across all web properties\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to tech stack unification: consolidating a fragmented set of frameworks and deployment models onto a shared design system and unified deployment foundation\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of software engineering experience with a track record of shipping and operating production web infrastructure\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge delivery\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience implementing or operating consent management systems at the platform layer\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with accessibility standards and experience integrating automated a11y testing into CI pipelines is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to own a platform infrastructure domain end to end and drive it to production under Staff direction\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with tech stack consolidation or framework migration on live production systems is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$159,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$219,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582276002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6180325002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8582276002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1428","title":"Senior Software Engineer, AI Runtime","company_name":"Databricks","first_published":"2026-06-08T17:32:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1428\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Training and customizing state-of-the-art AI models is one of the most demanding workloads in computing, and it sits at the heart of Databricks\u0026#39; Mosaic AI mission. AI Runtime (AIR) is our managed platform for large-scale GPU training and fine-tuning. It gives customers on-demand access to fleets of the latest accelerators and a serverless experience that hides the complexity of provisioning, scheduling, and orchestrating multi-node jobs, with the resilience to keep training running for days or weeks across thousands of GPUs. AIR powers the full spectrum of custom training, from fine-tuning open models to pre-training frontier-scale foundation models, for some of the most sophisticated AI teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Software Engineer for AI Runtime, you will play a critical role in building and scaling the systems that make large-scale training fast, reliable, and effortless. You will drive the architecture and evolution of the managed GPU training stack, spanning scheduling and capacity, distributed training performance, fault tolerance, and the developer experience of launching and operating jobs at scale. Beyond hands-on contributions to core systems, you will help shape the technical direction for AIR, mentor other engineers, partner across product, research, and platform teams, and contribute to the initiatives that expand the technical and business impact of custom training at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the architecture and evolution of AIR\u0026#39;s managed GPU training platform, delivering scalable, high-throughput, and resilient training across fleets that span thousands of accelerators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solve the hardest problems in large-scale training, including multi-node orchestration, distributed parallelism strategies, GPU scheduling and dynamic routing, high-throughput data loading, and checkpoint and restore for very long-running jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Push GPU efficiency and training performance, raising utilization (such as model FLOPs utilization and end-to-end throughput) and lowering cost per training run across diverse model architectures and hardware generations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the resilience and observability foundations that keep multi-node jobs healthy, detecting and recovering from hardware and software failures with minimal disruption to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product, research, and platform teams to shape the APIs, CLI, and developer experience that make it easy to launch, monitor, and debug production training jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end engineering efforts, from design through production rollout, holding a high bar for performance, correctness, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make direct, high-impact contributions to the core systems behind AIR, and help bring up support for the latest accelerators and new regions as the fleet grows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion engineering excellence, mentor other engineers through design reviews and technical discussions, and contribute to Databricks\u0026#39; technical direction in AI training infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience building and operating large-scale distributed systems, with experience in GPU training infrastructure, high-performance computing, or ML systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed training frameworks (such as PyTorch, FSDP, DeepSpeed, or Megatron) and the parallelism strategies (data, tensor, pipeline, and sequence parallelism) used to train large models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of training resilience patterns, including checkpointing, failure detection, and automatic recovery for long-running, multi-node jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid grasp of GPU performance fundamentals, including accelerator architecture, high-speed interconnects (such as NVLink and InfiniBand or RoCE), collective communication, and the bottlenecks that govern training throughput and utilization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating managed, multi-tenant platform products in the cloud, with clear SLAs and SLOs for availability, performance, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to performance-sensitive, large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create clear customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and the ability to collaborate across product, research, and infrastructure teams in a fast-moving environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer-focused mindset with the ability to align implementation details with product goals, and a passion for mentoring engineers and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or a related field (MS or PhD preferred).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8183195002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4602684002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8183195002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-78","title":"Senior Software Engineer  - Application Traffic team","company_name":"Databricks","first_published":"2025-09-23T19:55:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-78\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Software Engineer on the \u0026lt;strong\u0026gt;Application Traffic team\u0026lt;/strong\u0026gt;, you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You’ll work across three key areas that define Databricks’ networking stack:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ingress Control Plane\u0026lt;/strong\u0026gt;: Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Service-to-Service Communication\u0026lt;/strong\u0026gt;: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Overload Protection\u0026lt;/strong\u0026gt;: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience designing and building large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in one or more languages such as Java, Scala, Go, or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with service-oriented architectures and large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of shipping infrastructure that supports mission-critical workloads at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Preferred: background in \u0026lt;strong\u0026gt;service discovery, DNS, load balancing, Envoy, or related networking systems\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8029671002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930782002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8029671002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1318","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2025-06-08T18:54:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=4799387002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4602684002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":4799387002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-78","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2021-10-21T14:07:28-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-78\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools to allow Databricks engineers to operate their services across different clouds and environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build services, products and infrastructure at the intersection of machine learning and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with security and systems that handle sensitive data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401(k) Plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexible time off\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Paid parental leave\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Family Planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gym reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual personal development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee Assistance Program (EAP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel accident insurance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544435002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4602684002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544435002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-78","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2022-12-20T18:48:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-78\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools to allow Databricks engineers to operate their services across different clouds and environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build services, products and infrastructure at the intersection of machine learning and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with security and systems that handle sensitive data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401(k) Plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexible time off\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Paid parental leave\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Family Planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gym reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual personal development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee Assistance Program (EAP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel accident insurance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012803002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170336002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks doo Beograd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012803002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1415","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2025-05-28T09:57:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;P-1415\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop product features that empower our customers to easily store and access their data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in one of: Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of SQL\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6779084002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5568082002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6779084002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-939","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2023-06-01T12:53:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-939\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;(Position Location is open to both our Seattle \u0026amp;amp; Bellevue offices.)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects and the\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Serverless platform\u0026lt;/strong\u0026gt;: Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Core cloud platform\u0026lt;/strong\u0026gt;: Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner ecosystem\u0026lt;/strong\u0026gt;:\u0026amp;nbsp; Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Notebook dataplane\u0026lt;/strong\u0026gt;: Build multi-language multi-user collaborative REPL experience for Databricks users with high level of reliability and responsiveness, with a focus on Data Science and AI/ML authoring and experimentation experiences in notebooks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application platform\u0026lt;/strong\u0026gt;. Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with \u0026quot;batteries included\u0026quot;. Improve the scale, observability and safety of all Databricks services across different clouds while improving every engineer\u0026#39;s developer experience.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in one of: Java, Scala, Golang, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with security and systems that handle sensitive data\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$157,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$213,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7477087002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930267002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7477087002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1327","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2024-10-22T10:42:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1327\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of not only the Berlin site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop product features that empower our customers to easily store and access their data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8093295002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6204888002,"location":{"name":"Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8093295002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1440","title":"Senior Software Engineer - Backend","company_name":"Databricks","first_published":"2025-07-25T17:07:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1440\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Vancouver will be the newest R\u0026amp;amp;D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Log Analytics\u0026lt;/strong\u0026gt; - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI/BI \u0026lt;/strong\u0026gt;- \u0026lt;a href=\u0026quot;https://www.databricks.com/product/business-intelligence\u0026quot;\u0026gt;AI/BI\u0026lt;/a\u0026gt; is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unity Catalog Business Semantics \u0026lt;/strong\u0026gt;- Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databricks Apps - \u0026lt;/strong\u0026gt;Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with security and systems that handle sensitive data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$146,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$201,100 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4011975002,"name":"Vancouver, Canada","location":"Vancouver, Canada","child_ids":[],"parent_id":4056353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8233899002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4602684002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8233899002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-78","title":"Senior Software Engineer (Backend) - AI/ML Environments","company_name":"Databricks","first_published":"2025-10-29T17:08:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-78\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data and AI teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.\u0026amp;nbsp; Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you will have\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interact with turnkey customers and product managers to envision new features and identify areas for improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape how developers and data scientists build and interact with AI on Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in backend or infrastructure engineering with a focus on building systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, scalable APIs, or cloud-native infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with service-oriented architecture, deployment pipelines, and system observability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product and ownership mindset — you care about building the right solution, not just any solution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of dependency management technologies including virtual environments or containerization technologies.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8527117002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6373848002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8527117002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"RDQ427R175","title":"Senior Software Engineer, Compute Infrastructure","company_name":"Databricks","first_published":"2026-04-28T15:27:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ427R175\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Software Engineer on the Compute Infra team, you will design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-team initiatives that span product and infrastructure surface areas.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience designing and building large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in one or more languages such as Java, Scala, Go, or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with service-oriented architectures and large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of shipping infrastructure that supports mission-critical workloads at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$205,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544383002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4756920002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544383002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-97","title":"Senior Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2023-06-23T18:47:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working in a related system (preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5048461002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4756920002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5048461002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-97","title":"Senior Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2021-01-26T19:40:56-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-97\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working in a related system (preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012809002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170336002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks doo Beograd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012809002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1415","title":"Senior Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2025-05-28T09:57:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;P-1415\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The responsibilities you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive requirements clarity and design decisions for ambiguous problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce technical design documents and project plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop new features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor more junior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test and rollout to production, monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-oriented and focused on having an impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working in a related system\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6936994002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5641034002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6936994002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-987","title":"Senior Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2023-12-11T15:48:06-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-987\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Apache Spark™\u0026lt;/strong\u0026gt;: Develop the de facto open source standard framework for big data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Lake\u0026lt;/strong\u0026gt;: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Pipelines\u0026lt;/strong\u0026gt;: It\u0026#39;s difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test \u0026amp;amp; upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;: Build the next generation query optimizer and execution engine that\u0026#39;s fast, tuning free, scalable, and robust.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$157,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$213,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012800002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170336002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks doo Beograd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012800002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1415","title":"Senior Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2025-05-28T09:57:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1415\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of the not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The responsibilities you will have\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive requirements clarity and design decisions for ambiguous problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce technical design documents and project plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop new features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor more junior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test and rollout to production, monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or equivalent practical experience in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in either Java, Scala or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid foundation in algorithms and data structures and their real-world use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544325002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4413055002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":null,"value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544325002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-59","title":"Senior Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2023-06-23T18:46:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Apache Spark™\u0026lt;/strong\u0026gt;: Develop the de facto open source standard framework for big data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Lake\u0026lt;/strong\u0026gt;: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Pipelines\u0026lt;/strong\u0026gt;: It\u0026#39;s difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test \u0026amp;amp; upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;: Build the next generation query optimizer and execution engine that\u0026#39;s fast, tuning free, scalable, and robust.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=4513122002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4413055002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":null,"value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":4513122002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-59","title":"Senior Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2019-11-14T17:28:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Apache Spark™\u0026lt;/strong\u0026gt;: Develop the de facto open source standard framework for big data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Lake\u0026lt;/strong\u0026gt;: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Pipelines\u0026lt;/strong\u0026gt;: It\u0026#39;s difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test \u0026amp;amp; upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;: Build the next generation query optimizer and execution engine that\u0026#39;s fast, tuning free, scalable, and robust.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544403002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4955034002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544403002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-160","title":"Senior Software Engineer - Fullstack","company_name":"Databricks","first_published":"2022-12-20T18:20:50-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-951\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example experiences you\u0026#39;ll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Seamless onboarding and management for all members of an organization to become data-driven.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide a great SQL-centric data exploration and dashboarding experience on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An interactive environment for\u0026lt;strong\u0026gt;\u0026amp;nbsp;collaborative\u0026lt;/strong\u0026gt;\u0026amp;nbsp;data projects at massive\u0026amp;nbsp;\u0026lt;strong\u0026gt;scale\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with an easy path to\u0026amp;nbsp;\u0026lt;strong\u0026gt;production.\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$157,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$213,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8029679002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930796002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8029679002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1321","title":"Senior Software Engineer - Fullstack","company_name":"Databricks","first_published":"2025-09-03T19:23:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1321\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example teams you can join:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;SQL Analytics Console: \u0026lt;/strong\u0026gt;SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the \u0026quot;console\u0026quot; for SQL Analytics, where users configure, manage and monitor their SQL usage.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Jobs and Workflows: \u0026lt;/strong\u0026gt;This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we\u0026#39;ve rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills \u0026amp;amp; projects.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Developer Ecosystem:\u0026lt;/strong\u0026gt; The developer ecosystem team focuses on the development experience and best practices using tools\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Apps Developer Experience -\u0026amp;nbsp;\u0026lt;/strong\u0026gt;This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers -\u0026amp;nbsp;\u0026lt;a class=\u0026quot;c-link c-link--focus-visible\u0026quot; href=\u0026quot;https://github.com/databricks/appkit\u0026quot; target=\u0026quot;_blank\u0026quot; data-stringify-link=\u0026quot;https://github.com/databricks/appkit\u0026quot; data-sk=\u0026quot;tooltip_parent\u0026quot;\u0026gt;AppKit\u0026lt;/a\u0026gt;. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We\u0026#39;re currently. working on an MCP server for Cursor/Claude Code and are working on Skills.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in architecting, developing, deploying, and operating large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8099342002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6208069002,"location":{"name":"Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8099342002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1443","title":"Senior Software Engineer - Fullstack","company_name":"Databricks","first_published":"2025-07-30T22:38:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1443\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Vancouver will be the newest R\u0026amp;amp;D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Log Analytics\u0026lt;/strong\u0026gt; - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI/BI \u0026lt;/strong\u0026gt;-\u0026lt;a href=\u0026quot;https://www.databricks.com/product/business-intelligence\u0026quot;\u0026gt; AI/BI\u0026lt;/a\u0026gt; is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unity Catalog Business Semantics \u0026lt;/strong\u0026gt;- Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databricks Apps - \u0026lt;/strong\u0026gt;Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$146,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$201,100 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4011975002,"name":"Vancouver, Canada","location":"Vancouver, Canada","child_ids":[],"parent_id":4056353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5445641002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4955034002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5445641002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-160","title":"Senior Software Engineer - Fullstack","company_name":"Databricks","first_published":"2022-02-28T15:09:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-160\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who We Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Full Stack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example experiences you\u0026#39;ll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Seamless onboarding and management for all members of an organization to become data-driven.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide a great SQL-centric data exploration and dashboarding experience on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An interactive environment for\u0026lt;strong\u0026gt;\u0026amp;nbsp;collaborative\u0026lt;/strong\u0026gt;\u0026amp;nbsp;data projects at massive\u0026amp;nbsp;\u0026lt;strong\u0026gt;scale\u0026lt;/strong\u0026gt;\u0026amp;nbsp;with an easy path to\u0026amp;nbsp;\u0026lt;strong\u0026gt;production.\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7898766002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4955034002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7898766002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-160","title":"Senior Software Engineer - Fullstack","company_name":"Databricks","first_published":"2025-03-06T17:58:22-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-160\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who We Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system\u0026#39;s performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Full-Stack Development\u0026lt;/strong\u0026gt;: Design, develop, and maintain both front-end and back-end components of our web applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;UI/UX Design\u0026lt;/strong\u0026gt;: Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You’ll ensure the product provides a seamless experience from end to end.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Backend API Development\u0026lt;/strong\u0026gt;: Architect, design, and implement RESTful APIs and microservices to support the application.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration \u0026amp;amp; Mentorship\u0026lt;/strong\u0026gt;: Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Sense\u0026lt;/strong\u0026gt;: Contribute to product strategy by offering insights based on technical feasibility and user experience considerations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Code Quality \u0026amp;amp; Testing\u0026lt;/strong\u0026gt;: Write clean, maintainable, and well-documented code. Ensure the reliability and performance of all components with rigorous testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance Optimization\u0026lt;/strong\u0026gt;: Continuously monitor and optimize performance, both for the front-end and back-end.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agile Development\u0026lt;/strong\u0026gt;: Participate in agile ceremonies, including sprint planning, standups, retrospectives, and code reviews.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with server-side web technologies (eg: Java, Python, Scala, Go).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Us?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on AI-powered features that directly impact thousands of data practitioners all over the world.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with a world-class team at the intersection of AI, data, and cloud computing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build innovative solutions in a fast-moving, high-growth environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ready to shape the future of the Data Intelligence Platform at Databricks? Apply now!\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6318503002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4602684002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6318503002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-78","title":"Senior Software Engineer - Infrastructure and Tools","company_name":"Databricks","first_published":"2022-08-09T20:44:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;P-78\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Build and extend components of the core Databricks infrastructure\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Improve software development workflows for engineering and operational efficiency.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Develop automated build, test, and release infrastructures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;5+ years of experience writing production code in one of: Java, Scala, Go, C++ or Python\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Passion for building highly scalable and reliable infrastructure\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience architecting, developing and deploying large-scale distributed systems at scale\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with cloud APIs (e.g., a public cloud such as AWS, Azure, GCP or an advanced private cloud such as Google, Facebook)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes, or Terraform.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;401(k) Plan\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Equity awards\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Flexible time off\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Paid parental leave\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Family Planning\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Gym reimbursement\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Annual personal development fund\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Work headphones reimbursement\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Employee Assistance Program (EAP)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Business travel accident insurance\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7934782002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6135215002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7934782002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1403","title":"Senior Software Engineer - Ingestion","company_name":"Databricks","first_published":"2025-03-31T14:03:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1403\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years\u0026lt;/strong\u0026gt; of production level experience in one of: Python, Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing \u0026lt;strong\u0026gt;large-scale distributed systems\u0026lt;/strong\u0026gt; from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc) is a plus to have.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on experience in developing and operating backend systems\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8211648002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6180325002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8211648002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1428","title":"Senior Software Engineer, Model Serving","company_name":"Databricks","first_published":"2025-10-14T17:02:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer-focused mindset with the ability to align implementation details with product goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7654347002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6008221002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7654347002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1346","title":"Senior Software Engineer (Money)","company_name":"Databricks","first_published":"2024-09-24T04:54:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1346\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Money team\u0026#39;s mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely \u0026amp;amp; accurate billing,\u0026amp;nbsp; cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the \u0026lt;strong\u0026gt;first engineers for Money at Databricks India\u0026lt;/strong\u0026gt;, you will be key to \u0026lt;strong\u0026gt;building a base for one of Databricks’ most central engineering teams\u0026lt;/strong\u0026gt;. You will own critical components that form the backbone of our products, starting with \u0026lt;strong\u0026gt;Databricks’ resource admission control and usage governance infrastructure\u0026lt;/strong\u0026gt;. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you will have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own Money systems and services that govern usage of all Databricks products and offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of production level experience in one of: Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-quarter vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with software security and systems that handle sensitive data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead engineering projects across functional and organizational boundaries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proactive approach and a passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8027404002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6176474002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8027404002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1253","title":"Senior Software Engineer  - Money Team","company_name":"Databricks","first_published":"2025-06-06T12:26:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1253\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with Data + AI to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Money team\u0026#39;s mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP \u0026amp;amp; Azure).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. \u0026amp;nbsp;By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified \u0026quot;sky computation\u0026quot; experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and manage the Money systems and services, commercializing all Databricks products and offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop innovative primitives that enable\u0026amp;nbsp; and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will become an expert at using the Databricks Data + AI tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proactive approach and a passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$157,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076790002,"name":"Exec Engineering","child_ids":[],"parent_id":4001015002}],"offices":[],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8602402002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6432215002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8602402002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"P-1563","title":"Senior Software Engineer - Multi Cloud Efficiency","company_name":"Databricks","first_published":"2026-06-22T08:28:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1563\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started in\u0026amp;nbsp;\u0026lt;strong\u0026gt;Bengaluru , India\u0026lt;/strong\u0026gt; ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We manage the infrastructure efficiency for one of the world\u0026#39;s largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We are looking for engineers to help us engineer systems that optimize our footprint as we scale into the hundreds of millions of dollars in cloud spend.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Software Engineer, you will own the end-to-end design and delivery of high-impact engineering projects. You will act as a primary owner of key system components, handling technical ambiguity, collaborating with stakeholders, and delivering robust, scalable solutions. Your work will directly impact our infrastructure margins by building the next generation of cost attribution, automated resource management, and efficiency tooling.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;End-to-End System Design\u0026lt;/strong\u0026gt;: Lead projects from concept to deployment. You will design and build scalable systems that handle high-volume data streams to provide accurate cost attribution and resource management, turning chaotic cloud spend into actionable data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scaling \u0026amp;amp; Optimization\u0026lt;/strong\u0026gt;: Identify and eliminate inefficiencies in our cloud architecture. You will engineer solutions that mitigate resource waste, improve attribution accuracy, and raise the efficiency of our underlying cloud and data infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Component Ownership\u0026lt;/strong\u0026gt;: Act as the technical expert for your service area. You will take ownership of the full lifecycle of your services, ensuring high code quality, effective monitoring, and low operational overhead.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bridge the Gap\u0026lt;/strong\u0026gt;: Work effectively with product and infrastructure teams to turn business needs into technical specifications. You will develop tooling that simplifies the complex world of cloud economics for other engineers and budget owners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentorship \u0026amp;amp; Best Practices\u0026lt;/strong\u0026gt;: Uplevel the team by contributing to code reviews, sharing engineering best practices, and mentoring junior engineers. You will drive a shift-left culture — catching cost and efficiency problems early in the development cycle — by integrating efficiency checks directly into the developer workflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Automate the manual:\u0026lt;/strong\u0026gt; Build the automation and AI/agentic tooling that detects waste, attributes cost, and remediates issues with minimal human intervention — turning repetitive cost operations into self-running systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience, including producing high-quality production code and detailed technical design documents for distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to break down complex, multi-month projects into actionable milestones and tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid grasp of industry best practices for distributed systems (monitoring, documentation, testing, and \u0026quot;fit and finish\u0026quot;).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in optimizing cloud resource utilization or developing large-scale distributed tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to make well-reasoned trade-offs between system performance, development velocity, and technical debt.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7647353002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6008248002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7647353002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1347","title":"Senior Software Engineer- Networking","company_name":"Databricks","first_published":"2024-09-20T07:17:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1347\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Networking Infrastructure\u0026lt;/strong\u0026gt; is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we\u0026#39;re setting up the team from scratch in \u0026lt;strong\u0026gt;Bengaluru , India.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an experienced \u0026lt;strong\u0026gt;Senior Software Engineers with a networking background\u0026lt;/strong\u0026gt; to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of production level experience in one of: Python, Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;4+ years of experience\u0026lt;/strong\u0026gt; developing \u0026lt;strong\u0026gt;large-scale distributed system\u0026lt;/strong\u0026gt;s from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience working in the \u0026lt;strong\u0026gt;Networking domain\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7619811002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5535764002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7619811002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-926","title":"Senior Software Engineer - Observability","company_name":"Databricks","first_published":"2024-08-31T22:01:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-926\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We\u0026#39;re only getting started in \u0026lt;strong\u0026gt;Bengaluru, India\u0026lt;/strong\u0026gt;\u0026amp;nbsp; - and are currently in the process of setting up \u0026lt;strong\u0026gt;10 new teams from scratch\u0026lt;/strong\u0026gt;!\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer in the\u0026lt;strong\u0026gt; Observability team\u0026lt;/strong\u0026gt;, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish standards for logging, metrics, and tracing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in on-call rotations and reduce incident response times to maintain operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in software development, in large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with metrics collection, health monitoring, and observability tools\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274459002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5844020002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274459002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1137","title":"Senior Software Engineer - Security ","company_name":"Databricks","first_published":"2024-03-06T13:26:01-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h5\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;P-1137\u0026lt;/span\u0026gt;\u0026lt;/h5\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;5+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;5+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8350956002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331531002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8350956002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1502","title":"Senior Software Engineer- Singapore","company_name":"Databricks","first_published":"2025-12-23T00:46:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1502\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform integrations with various frameworks in the AI/ML ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8350959002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331531002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8350959002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1502","title":"Senior Software Engineer- Tokyo","company_name":"Databricks","first_published":"2025-12-23T00:47:16-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1502\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform integrations with various frameworks in the AI/ML ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8230883002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6208069002,"location":{"name":"Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8230883002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1443","title":"Senior Software Frontend Engineer – Dashboards","company_name":"Databricks","first_published":"2025-10-28T13:50:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1443\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best \u0026lt;strong\u0026gt;Data Intelligence Platform\u0026lt;/strong\u0026gt;, empowering customers to turn massive data into deep, actionable insights.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Senior Frontend Engineer focused on Dashboards\u0026lt;/strong\u0026gt;, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of professional software engineering experience, with strong experience building both frontend and backend systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing scalable systems and abstractions that support interactive, high-performance product experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to collaborate cross-functionally and deliver impactful user-facing features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$146,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$201,100 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4011975002,"name":"Vancouver, Canada","location":"Vancouver, Canada","child_ids":[],"parent_id":4056353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8509683002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399314002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8509683002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ427R299","title":"Senior Solutions Architect","company_name":"Databricks","first_published":"2026-04-20T15:18:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;(FEQ427R299)\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data \u0026amp;amp; AI platform on Greenfield accounts. You aren\u0026#39;t just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Technical Strategy \u0026amp;amp; Leadership: Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data \u0026amp;amp; AI practitioners, business domains and all the way up to C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Advisory: Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Adoption: Move beyond \u0026quot;proof of concept\u0026quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentorship: Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;em\u0026gt;*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in technical and client-facing roles.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong \u0026quot;AI-Builder\u0026quot; mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language \u0026amp;amp; Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568420002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399314002,"location":{"name":"Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568420002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ427R299","title":"Senior Solutions Architect","company_name":"Databricks","first_published":"2026-05-28T08:35:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;(FEQ427R299)\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data \u0026amp;amp; AI platform on Greenfield accounts. You aren\u0026#39;t just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Technical Strategy \u0026amp;amp; Leadership: Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data \u0026amp;amp; AI practitioners, business domains and all the way up to C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Advisory: Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Adoption: Move beyond \u0026quot;proof of concept\u0026quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentorship: Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;em\u0026gt;*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in technical and client-facing roles.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong \u0026quot;AI-Builder\u0026quot; mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language \u0026amp;amp; Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8554470002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6416896002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8554470002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ427R233","title":"Senior Solutions Architect - Digital Natives","company_name":"Databricks","first_published":"2026-05-18T12:10:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;(FEQ427R233)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will report to a Field Engineering Manager in the Emerging Enterprises team.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt; \u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) for Startup \u0026amp;amp; Digital Native customers in the Nordics region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong \u0026quot;AI-Builder\u0026quot; mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Able to engage effectively in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Experience influencing decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled in coding with one or more core programming language (i.e., Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark / ability to upskill quickly in distributed computing technologies.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms. Databricks Certification(s) are not a must-have but will be beneficial for the role!\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Notes on mandatory requirements:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Location for the role will be in Stockholm (or within a commutable distance for hybrid schedule).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8340837002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331084002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8340837002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"FEQ227R117","title":"Senior Solutions Architect (DS/ML/GenAI/LLM)","company_name":"Databricks","first_published":"2026-01-06T11:58:25-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;JOB ID:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;FEQ227R117\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London, United Kingdom\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Industry:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Professional Business Services (Consultancy, Legal, etc)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;We are seeking a highly motivated and technically skilled individual to join our UK\u0026amp;amp;I Enterprise Professional Business Team, which focuses on supporting and growing customers in the UK\u0026amp;amp;I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK\u0026amp;amp;I region and close alignment with our London-based team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Technical Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to architect end-to-end Data \u0026amp;amp; AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pre-Sales \u0026amp;amp; Customer-Facing Skills:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Seniority \u0026amp;amp; Leadership:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Logistics:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ability to commute to the London office regularly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness and ability to travel approximately 20-30% of the time across UK\u0026amp;amp;I and EMEA for customer visits.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Databricks or other relevant Cloud/Data certifications.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8517068002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6402185002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8517068002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ327R160","title":"Senior Solutions Architect (Enterprise Accounts)","company_name":"Databricks","first_published":"2026-05-26T13:46:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;FEQ327R160\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;London, UK\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter:\u0026lt;/strong\u0026gt; Dina Hussain\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Up to 60% travel to London offices and customer site\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567991002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422218002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8567991002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R229","title":"Senior Solutions Architect - Lakebase","company_name":"Databricks","first_published":"2026-06-11T12:02:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;(FEQ327R229)\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor, serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python. Also requiring prior experience with Apache Spark or similar analytics engine tooling for large-scale data processing.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8570587002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6376759002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8570587002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ427R199","title":"Senior Solutions Architect - Lakebase","company_name":"Databricks","first_published":"2026-05-29T06:42:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ427R199\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor, serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;Competencies \u0026amp;amp; Responsibilities\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8570586002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6376759002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8570586002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ427R199","title":"Senior Solutions Architect - Lakebase","company_name":"Databricks","first_published":"2026-05-29T06:41:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ427R199\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor, serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;Competencies \u0026amp;amp; Responsibilities\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8480817002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6387534002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8480817002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"FEQ227R246","title":"Senior Solutions Architect (Utilities/Energy)","company_name":"Databricks","first_published":"2026-04-02T13:09:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;FEQ227R246\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;London, UK\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter:\u0026lt;/strong\u0026gt; Dina Hussain\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be working with our \u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Utilities customers\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands-on proof points that accelerate confidence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Up to 30-40% travel to London offices and customer sites\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8025494002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6175875002,"location":{"name":"Aarhus, Denmark; Remote - Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8025494002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"FEQ326R286","title":"Senior Solutions Engineer","company_name":"Databricks","first_published":"2025-06-10T04:05:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ# FEQ326R286\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Code in a core programming language such as\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;Python.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Experience diving deeper into solution architecture\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;and Data Engineering\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8239195002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6265555002,"location":{"name":"Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Denmark ApS","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8239195002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"FEQ127R23","title":"Senior Solutions Engineer","company_name":"Databricks","first_published":"2025-11-19T04:54:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ# FEQ127R23\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Code in a core programming language such as\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;Python or SQL\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Experience diving deeper into solution architecture\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;and Data Engineering\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4086869002,"name":"Aarhus, Denmark","location":"Aarhus, Denmark","child_ids":[],"parent_id":4018697002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8615245002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440825002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8615245002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R501","title":"Senior Specialist Solutions Architect (AI/ML)","company_name":"Databricks","first_published":"2026-07-10T11:46:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;ReqID:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;FEQ327R501\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Skills: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Data Science, Machine Learning, AI, LLM, GenAI\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Specialist Solutions Architect (ML \u0026amp;amp; AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI\u0026amp;nbsp; thought leader.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architecting Workloads:\u0026lt;/strong\u0026gt; Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;GenAI Leadership:\u0026lt;/strong\u0026gt; Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Influence:\u0026lt;/strong\u0026gt; Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Thought Leadership:\u0026lt;/strong\u0026gt; Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 10+ years of hands-on industry DS/ML experience, with a focus on either:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience working with Distributed Spark based systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data engineering concepts or a good understanding of data engineering concepts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication:\u0026lt;/strong\u0026gt; Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Core Traits:\u0026lt;/strong\u0026gt; Passion for lifelong learning, collaboration, and driving business value through AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 3 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8506063002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6397632002,"location":{"name":"Finland; Remote - Denmark; Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8506063002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ327R156","title":"Senior Specialist Solutions Architect - AI \u0026 ML Engineer","company_name":"Databricks","first_published":"2026-04-15T12:10:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R156\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr Specialist Solutions Architect (SSA) - ML \u0026amp;amp; AI Engineer, you will be the trusted technical ML \u0026amp;amp; AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML \u0026amp;amp; AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect production level ML \u0026amp;amp; AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of hands-on industry ML experience in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI Engineer: Experience with the latest techniques in LLMs \u0026amp;amp; agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data engineering, or a good understanding of the concept of data engineering\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through ML \u0026amp;amp; AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 3 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056388002,"name":"Remote - Sweden","location":"Remote - Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8600818002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6435157002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8600818002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R328","title":"Senior Specialist Solutions Engineer (AI/ML)","company_name":"Databricks","first_published":"2026-06-23T06:09:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;ReqID:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; FEQ327R328\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Recruiter:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Kanwal Matharu\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London, United Kingdom - Hybrid\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Skills: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Data Science, Machine Learning, AI, LLM, GenAI\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be reporting to the Manager, Field Engineering (Specialist Team)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering.\u0026amp;nbsp; Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Science/ML Skills\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on industry ML experience in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience working with Distributed Spark based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving our values through ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 3 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8540267002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6410323002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":[],"value_type":"multi_select"}],"id":8540267002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"P-1549","title":"Senior Staff Applied AI Engineer - Context Retrieval","company_name":"Databricks","first_published":"2026-05-07T17:02:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1549\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter\u0026#39;s revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a\u0026amp;nbsp;\u0026lt;strong\u0026gt;Senior Staff Applied AI Engineer\u0026lt;/strong\u0026gt; to own \u0026lt;strong\u0026gt;context retrieval for Databricks agents across SaaS providers\u0026lt;/strong\u0026gt;. This is a zero-to-one role with two deeply connected charters:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the retrieval stack\u0026lt;/strong\u0026gt; — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the search subagents\u0026lt;/strong\u0026gt; that sit on top of that stack and reason about \u0026lt;em\u0026gt;what context is needed\u0026lt;/em\u0026gt;, \u0026lt;em\u0026gt;how to retrieve it\u0026lt;/em\u0026gt;, and \u0026lt;em\u0026gt;whether the right thing actually came back\u0026lt;/em\u0026gt; — closing the loop between an agent\u0026#39;s intent and the substrate that serves it.\u0026lt;/li\u0026gt;\n\u0026lt;/ol\u0026gt;\n\u0026lt;p\u0026gt;If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the full retrieval stack from scratch.\u0026lt;/strong\u0026gt; Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Retrieve across heterogeneous data — structured and unstructured.\u0026lt;/strong\u0026gt; Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Connect to the SaaS surface area customers actually use.\u0026lt;/strong\u0026gt; Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Optimize for two consumers at once.\u0026lt;/strong\u0026gt; Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Crack query understanding for agents.\u0026lt;/strong\u0026gt; Agent queries don\u0026#39;t look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Crack content understanding at scale.\u0026lt;/strong\u0026gt; Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build search subagents that reason about retrieval.\u0026lt;/strong\u0026gt; Design the agentic layer that decides \u0026lt;em\u0026gt;what context is needed\u0026lt;/em\u0026gt;, \u0026lt;em\u0026gt;which sources to query\u0026lt;/em\u0026gt;, \u0026lt;em\u0026gt;how to decompose and route the search\u0026lt;/em\u0026gt;, and — critically — \u0026lt;em\u0026gt;whether the retrieved content is actually sufficient to answer the question\u0026lt;/em\u0026gt;. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the evaluation flywheel for both retrieval and subagents.\u0026lt;/strong\u0026gt; Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — \u0026lt;em\u0026gt;did it ask the right follow-up?\u0026lt;/em\u0026gt;, \u0026lt;em\u0026gt;did it correctly recognize when retrieval failed?\u0026lt;/em\u0026gt;, \u0026lt;em\u0026gt;did it ground its answer in the right evidence?\u0026lt;/em\u0026gt;. Quality you can\u0026#39;t measure is quality you can\u0026#39;t ship.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set technical direction and grow the team.\u0026lt;/strong\u0026gt; Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep \u0026lt;strong\u0026gt;Information Retrieval (IR) expertise\u0026lt;/strong\u0026gt;: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with \u0026lt;strong\u0026gt;modern LLM-era retrieval\u0026lt;/strong\u0026gt;: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing \u0026lt;strong\u0026gt;agentic systems on top of retrieval\u0026lt;/strong\u0026gt; — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong grasp of \u0026lt;strong\u0026gt;relevance evaluation\u0026lt;/strong\u0026gt;: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working across \u0026lt;strong\u0026gt;structured and unstructured data\u0026lt;/strong\u0026gt; — you\u0026#39;ve indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of \u0026lt;strong\u0026gt;building 0→1\u0026lt;/strong\u0026gt;: you\u0026#39;ve stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to operate as a\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical leader\u0026lt;/strong\u0026gt;: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training or fine-tuning embedding models, rerankers, or query understanding models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why This Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Foundational impact.\u0026lt;/strong\u0026gt; Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Greenfield with scale.\u0026lt;/strong\u0026gt; You get the rare combination of starting from a clean sheet \u0026lt;em\u0026gt;and\u0026lt;/em\u0026gt; having immediate access to massive enterprise scale, real customer data, and a world-class research org.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The right team.\u0026lt;/strong\u0026gt; You\u0026#39;ll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is based in our \u0026lt;strong\u0026gt;Mountain View, CA or San Francisco, CA\u0026lt;/strong\u0026gt;\u0026amp;nbsp;office. Hybrid in-office collaboration expected.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$342,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7872746002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6105987002,"location":{"name":"Dallas, Texas; San Francisco, California; Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":7872746002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1381","title":"Senior Staff Backline Engineer - Data \u0026 AI","company_name":"Databricks","first_published":"2025-02-20T11:46:49-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;P-1381\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling Data \u0026amp;amp; AI teams to solve the world\u0026#39;s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Team: \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What your impact will be:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deep Dive Troubleshooting\u0026lt;/strong\u0026gt;: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Root Cause Analysis\u0026lt;/strong\u0026gt;: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architectural Optimization\u0026lt;/strong\u0026gt;: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Improvements\u0026lt;/strong\u0026gt;: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.\u0026lt;br\u0026gt;Scalability \u0026amp;amp; Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. \u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in al\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;l:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Engineering Track\u0026lt;/strong\u0026gt;: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Supportability Track\u0026lt;/strong\u0026gt;: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Track\u0026lt;/strong\u0026gt;: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$170.40\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$255.60 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7807722002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6078010002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7807722002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ126R35","title":"Senior Staff Software Engineer - App and Partner Ecosystem","company_name":"Databricks","first_published":"2025-03-19T19:35:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;RDQ126R35\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Impact\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at industry events and conferences, influencing the broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep passion for and knowledge of the broad data and AI industry. Experience contributing to open-source projects and engaging with developer communities is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building data-intensive applications or systems. Strong expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark™, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of data security, governance, and compliance frameworks (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to mentor engineers, influence architectural decisions, and advocate for best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills to evangelize Databricks\u0026#39; ecosystem vision internally and externally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias for action and commitment to delivering high-quality solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Join us in shaping the future of the Databricks ecosystem and enabling the next generation of data and AI innovation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$298,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8421894002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6119106002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8421894002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1385","title":"Senior Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2026-02-13T07:19:28-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1385\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a \u0026lt;strong\u0026gt;Senior Staff Software Engineer\u0026lt;/strong\u0026gt; for Databricks\u0026#39; Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Key Characteristics\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;As an executive engineering individual contributor at Databricks, you will have \u0026lt;strong\u0026gt;full ownership of the product or infrastructure direction\u0026lt;/strong\u0026gt; in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong influencer or driver in the organization’s roadmap and direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7651326002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5934107002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7651326002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1174","title":"Senior Staff Software Engineer (Backend)","company_name":"Databricks","first_published":"2024-09-22T11:34:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;small\u0026gt;(P-1174)\u0026lt;/small\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a \u0026lt;strong\u0026gt;Senior Staff Software Engineer\u0026lt;/strong\u0026gt; for Databricks\u0026#39; Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Characteristics\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an executive engineering individual contributor at Databricks, you will have \u0026lt;strong\u0026gt;full ownership of the product or infrastructure direction\u0026lt;/strong\u0026gt; in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong influencer or driver in the organization’s roadmap and direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and \u0026lt;strong\u0026gt;supporting large-scale distributed systems\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7651345002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5538594002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7651345002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-375","title":"Senior Staff Software Engineer (Backend)","company_name":"Databricks","first_published":"2024-09-22T12:27:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;small\u0026gt;(P-1174)\u0026lt;/small\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a \u0026lt;strong\u0026gt;Senior Staff Software Engineer\u0026lt;/strong\u0026gt; for Databricks\u0026#39; Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Characteristics\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an executive engineering individual contributor at Databricks, you will have \u0026lt;strong\u0026gt;full ownership of the product or infrastructure direction\u0026lt;/strong\u0026gt; in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong influencer or driver in the organization’s roadmap and direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8303015002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787578002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8303015002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1127","title":"Senior Staff Software Engineer - Delta","company_name":"Databricks","first_published":"2025-11-21T09:42:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1127\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.\u0026amp;nbsp; We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement, and optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8303020002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787578002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8303020002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1127","title":"Senior Staff Software Engineer - Delta","company_name":"Databricks","first_published":"2025-11-21T09:43:23-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1127\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.\u0026amp;nbsp; We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement, and optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8303017002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787578002,"location":{"name":"Zürich, Switzerland"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8303017002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1127","title":"Senior Staff Software Engineer - Delta","company_name":"Databricks","first_published":"2025-11-21T09:42:46-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1127\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.\u0026amp;nbsp; We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement, and optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8303014002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787578002,"location":{"name":"Aarhus, Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8303014002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1127","title":"Senior Staff Software Engineer - Delta","company_name":"Databricks","first_published":"2025-11-21T09:41:27-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1127\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.\u0026amp;nbsp; We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement, and optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7319791002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787578002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7319791002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1127","title":"Senior Staff Software Engineer - Delta","company_name":"Databricks","first_published":"2024-04-04T16:28:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1127\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.\u0026amp;nbsp; We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement, and optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7934466002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5982071002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7934466002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1183","title":"Senior Staff Software Engineer - Enzyme","company_name":"Databricks","first_published":"2025-03-28T15:03:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Title: Senior Staff Software Engineer - Enzyme\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: Mountain View, California\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;---------------------------------\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;P-1183\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lakeflow Engineering team here at Databricks is responsible for the entirety of the ETL product line. This includes products such as Materialized Views, Structured Streaming, and Delta Live Tables. We run one of the world\u0026#39;s biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking a dedicated technical leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL\u0026amp;nbsp; workloads and for query acceleration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Incrementally maintaining materialized views\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Query optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant architecture for materialized views\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$235,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$295,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274563002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787576002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274563002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1126","title":"Senior Staff Software Engineer - IAM","company_name":"Databricks","first_published":"2024-03-06T13:54:59-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1126\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$232,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$313,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274557002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787576002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274557002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1126","title":"Senior Staff Software Engineer - IAM","company_name":"Databricks","first_published":"2024-03-06T13:53:28-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1126\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$220,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$297,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493002002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5982071002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8493002002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1183","title":"Senior Staff Software Engineer - Lakeflow Pipelines Datasets","company_name":"Databricks","first_published":"2026-04-02T17:46:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Databricks builds the world\u0026#39;s leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world\u0026#39;s largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You\u0026#39;ll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Declarative Dataflow Processing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stream Processing and Complex Event Processing\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Autonomic Computing and Self-Managing Systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The Impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bridge the gap between research and production by bringing ideas from the academic literature or internal R\u0026amp;amp;D into systems that solve real customer problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape product direction alongside engineering and product leadership, owning technical strategy from design through delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive complex, multi-team technical initiatives that require sustained coordination and clear technical judgment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What We’re Looking For:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building, operating, and evolving large-scale distributed systems in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of executing against a multi-year technical vision through well-sequenced incremental milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong algorithmic foundations with the practical judgment to know when they matter and when simpler solutions win.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A bias toward customer impact over technical novelty for its own sake.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building alignment across teams and driving initiatives from conception through customer adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8433583002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5934107002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8433583002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1174","title":"Senior Staff Software Engineer- Networking","company_name":"Databricks","first_published":"2026-02-23T12:08:17-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;small\u0026gt;(P-1174)\u0026lt;/small\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an experienced \u0026lt;strong\u0026gt;Sr. Staff Software Engineer\u0026lt;/strong\u0026gt; with deep networking expertise to help shape the future of Databricks’ \u0026lt;strong\u0026gt;Networking Infrastructure\u0026lt;/strong\u0026gt;. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in \u0026lt;strong\u0026gt;defining the technical vision and architecture\u0026lt;/strong\u0026gt; for next-generation network connectivity \u0026amp;amp; observability services that will power \u0026amp;amp; manage \u0026lt;strong\u0026gt;millions of VMs across multiple clouds\u0026lt;/strong\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will \u0026lt;strong\u0026gt;own and drive the design of large-scale connectivity platforms\u0026lt;/strong\u0026gt; that form the backbone between Databricks’ \u0026lt;strong\u0026gt;control plane and compute plane\u0026lt;/strong\u0026gt;. These platforms are foundational to improving the \u0026lt;strong\u0026gt;scalability, reliability, and efficiency\u0026lt;/strong\u0026gt; of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will operate at an \u0026lt;strong\u0026gt;org-wide level\u0026lt;/strong\u0026gt;, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into \u0026lt;strong\u0026gt;durable, extensible networking systems\u0026lt;/strong\u0026gt;. This role requires both \u0026lt;strong\u0026gt;hands-on technical leadership\u0026lt;/strong\u0026gt; and the ability to influence architecture and execution across teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity for a \u0026lt;strong\u0026gt;senior technical leader\u0026lt;/strong\u0026gt; who enjoys working in ambiguous problem spaces and is motivated by solving \u0026lt;strong\u0026gt;novel, multi-cloud distributed systems challenges at massive scale\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439350002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6146682002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8439350002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1408","title":"Senior Staff Software Engineer- Search Quality","company_name":"Databricks","first_published":"2026-02-26T09:13:44-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1408\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;As a Search Quality Engineer, you sit at the heart of this transformation. You aren\u0026#39;t just building a search engine; you are building the contextual backbone of the entire company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will own the quality of results for two distinct but deeply connected \u0026quot;users\u0026quot;:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the \u0026quot;ground truth\u0026quot; needed\u0026amp;nbsp; to synthesize accurate, high-stakes business actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Technical Challenge\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This isn\u0026#39;t a solved problem. You will be tackling \u0026quot;Search\u0026quot; in its most evolved form:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why This is the Place to Be\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Quality and Metrics Obsessive: You understand that \u0026quot;relevance\u0026quot; is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with \u0026lt;strong\u0026gt;relevance metrics\u0026lt;/strong\u0026gt; (nDCG, MRR, Precision@K).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274908002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787472002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274908002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1124","title":"Senior Staff Software Engineer - Security Infrastructure","company_name":"Databricks","first_published":"2024-03-06T16:06:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1124\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$303,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7274902002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787472002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7274902002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1124","title":"Senior Staff Software Engineer - Security Infrastructure","company_name":"Databricks","first_published":"2024-03-06T16:03:50-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1124\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;9+ years of experience in Data Security or related areas\u0026amp;nbsp; and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;15+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$288,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8422481002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356320002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8422481002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ127R176","title":"Senior Staff Software Engineer - Unity Catalog Runtime Enforcement ","company_name":"Databricks","first_published":"2026-02-13T11:44:42-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R176\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about \u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow and engineering team\u0026amp;nbsp;delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience building and maintaining distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security first mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407527002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356320002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8407527002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ127R176","title":"Senior Staff Software Engineer - Unity Catalog Runtime Enforcement ","company_name":"Databricks","first_published":"2026-02-13T11:43:50-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R176\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about \u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow and engineering team\u0026amp;nbsp;delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience building and maintaining distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security first mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8422477002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356320002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8422477002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ127R176","title":"Senior Staff Software Engineer - Unity Catalog Runtime Enforcement ","company_name":"Databricks","first_published":"2026-02-13T11:44:22-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R176\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about \u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow and engineering team\u0026amp;nbsp;delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience building and maintaining distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security first mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8422483002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356320002,"location":{"name":"Zürich, Switzerland"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8422483002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ127R176","title":"Senior Staff Software Engineer - Unity Catalog Runtime Enforcement ","company_name":"Databricks","first_published":"2026-02-13T11:45:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R176\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about \u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow and engineering team\u0026amp;nbsp;delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience building and maintaining distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security first mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8422484002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356320002,"location":{"name":"Aarhus, Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8422484002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ127R176","title":"Senior Staff Software Engineer - Unity Catalog Runtime Enforcement ","company_name":"Databricks","first_published":"2026-02-13T11:46:05-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R176\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about \u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and grow and engineering team\u0026amp;nbsp;delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience building and maintaining distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security first mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8351765002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6335331002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8351765002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1509","title":"Senior Technical Solutions Engineer (Platform)","company_name":"Databricks","first_published":"2026-01-06T04:43:01-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1509\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot and resolve complex customer issues related to Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide best practices support for custom-built solutions developed by Databricks customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver suggestions for improving performance in customer-specific environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with issues around third-party integrations with Databricks environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in the creation and maintenance of company documentation and knowledge articles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a true proponent of customer advocacy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in weekend and weekday on call rotation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience with SQL-based database is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Linux/Unix administration skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with AWS, Azure or GCP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026quot;Distributed Big Data Computing\u0026quot; environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical degree or the equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Written and spoken proficiency in both Japanese and English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8029666002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930766002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8029666002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1317","title":"Software Engineer - Backend","company_name":"Databricks","first_published":"2025-06-08T18:46:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1317\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012650002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170335002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks doo Beograd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012650002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1414","title":"Software Engineer - Backend","company_name":"Databricks","first_published":"2025-05-28T09:57:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1414\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop product features that empower our customers to easily store and access their data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of production level experience in one of: Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of SQL\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012658002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170335002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks doo Beograd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012658002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1414","title":"Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2025-05-28T09:57:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1414\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The responsibilities you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive requirements clarity and design decisions for ambiguous problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce technical design documents and project plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop new features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor more junior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test and rollout to production, monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-oriented and focused on having an impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working in a related system\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012691002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170335002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks doo Beograd","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012691002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1414","title":"Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2025-05-28T09:57:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1414\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of the not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The responsibilities you will have\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive requirements clarity and design decisions for ambiguous problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce technical design documents and project plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop new features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor more junior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test and rollout to production, monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or equivalent practical experience in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of production level experience in either Java, Scala or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid foundation in algorithms and data structures and their real-world use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8029677002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930793002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8029677002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1320","title":"Software Engineer - Fullstack","company_name":"Databricks","first_published":"2025-06-09T18:06:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1320\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example teams you can join:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;SQL Analytics Console: \u0026lt;/strong\u0026gt;SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the \u0026quot;console\u0026quot; for SQL Analytics, where users configure, manage and monitor their SQL usage.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Jobs and Workflows: \u0026lt;/strong\u0026gt;This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we\u0026#39;ve rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills \u0026amp;amp; projects.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Developer Ecosystem:\u0026lt;/strong\u0026gt; The developer ecosystem team focuses on the development experience and best practices using tools\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Apps Developer Experience -\u0026amp;nbsp;\u0026lt;/strong\u0026gt;This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers -\u0026amp;nbsp;\u0026lt;a class=\u0026quot;c-link c-link--focus-visible\u0026quot; href=\u0026quot;https://github.com/databricks/appkit\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;AppKit\u0026lt;/a\u0026gt;. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We\u0026#39;re currently. working on an MCP server for Cursor/Claude Code and are working on Skills.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience with HTML, CSS, and JavaScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in architecting, developing, deploying, and operating large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8341810002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331531002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8341810002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1502","title":"Software Engineer- Fullstack- Singapore","company_name":"Databricks","first_published":"2025-12-16T22:36:34-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1502\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform integrations with various frameworks in the AI/ML ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8345074002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331531002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8345074002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1502","title":"Software Engineer- Fullstack- Tokyo","company_name":"Databricks","first_published":"2025-12-18T09:50:03-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1502\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement platform integrations with various frameworks in the AI/ML ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8202670002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6251058002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8202670002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"P-1284","title":"Software Engineer - GenAI inference ","company_name":"Databricks","first_published":"2025-10-08T00:00:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1284\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About This Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You Will Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document and share learnings, contributing to internal best practices and open-source efforts when possible\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering background (3+ years or equivalent) in performance-critical systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building instrumentation, tracing, and profiling tools for ML models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work closely with ML researchers, translate novel model ideas into production systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership mindset and eagerness to dive deep into complex system challenges\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$142,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635225002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448757002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8635225002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"P-1581","title":"Software Engineer, Web Products","company_name":"Databricks","first_published":"2026-07-15T19:15:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Software Engineer, Web Products\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;P-1581\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Mountain View, CA\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About Us:\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role:\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;What we look for:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of software engineering experience with a track record of shipping production web systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building on or integrating with content management systems like Drupal, Contentful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort adopting AI native development tools and embedding them into daily engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to take a well-scoped problem and drive it to completion under senior direction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with headless CMS architectures, edge delivery, or modern frontend frameworks is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$136,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$187,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$136,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095718002,"name":"Integration, Data, Engineering and Applications","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560779002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6419408002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":8560779002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"GAQ327R227","title":"Software Engineer, Web Products","company_name":"Databricks","first_published":"2026-06-23T14:22:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Software Engineer, Web Products\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;P-1581\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Mountain View, CA\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About Us:\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role:\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;What we look for:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of software engineering experience with a track record of shipping production web systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building on or integrating with content management systems like Drupal, Contentful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort adopting AI native development tools and embedding them into daily engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to take a well-scoped problem and drive it to completion under senior direction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with headless CMS architectures, edge delivery, or modern frontend frameworks is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$136,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$187,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$136,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095718002,"name":"Integration, Data, Engineering and Applications","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8625636002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6444883002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8625636002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R393","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-16T10:01:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Req ID FEQ327R393\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our customers challenge us with solving some of the world\u0026#39;s toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks\u0026#39; culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present reference architectures, technical guides, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide escalated support for critical customer operational issues\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your strengths to help your fellow SA\u0026#39;s, and drive cross-functional relationships across the company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers up to 30%\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Solution Architects are customer-facing. You\u0026#39;ll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers, such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in at least one of the following:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies\u0026lt;em\u0026gt; (e.g., Spark, Hadoop, Kafka)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing \u0026lt;em\u0026gt;(e.g., SQL, OLTP/OLAP/DSS)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies \u0026lt;em\u0026gt;(e.g., pandas, scikit-learn, HPO)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Degree in a quantitative discipline \u0026lt;em\u0026gt;(e.g., Computer Science, Applied Mathematics, Operations Research, etc.)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8576249002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6425642002,"location":{"name":"Milan, Italy"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Italy S.r.l","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8576249002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R27","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-06-23T14:32:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ427R27\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The preferred location for this role is the Milan region. Candidates based in Rome may also be considered where the role scope involves coverage of the Rome customer area. The position operates on a hybrid basis and requires the ability to attend relevant office locations and customer meetings as required.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Data \u0026amp;amp; Intelligence Platform can help customers solve their complex data challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients in Italy, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mandatory requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The location for the role should be in the Milan region (i.e. within a commutable distance for a hybrid schedule).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility to travel (up to 30% as required for customer meetings, events and trainings).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business proficiency in both Italian and English required.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed \u0026lt;a href=\u0026quot;https://drive.google.com/open?id=154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Italy Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;€92.300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;€126.950 EUR\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4122257002,"name":"Milan, Italy","location":"Milan, Italy","child_ids":[],"parent_id":4122256002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8589624002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6430727002,"location":{"name":"Berlin, Germany; Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8589624002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R67","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-06-14T07:25:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;FEQ427R67\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5622\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5839\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6446\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6449\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437008002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370193002,"location":{"name":"Queensland, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437008002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ427R64","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-03-31T10:00:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ427R64\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location: Brisbane\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5622\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5839\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6449\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4038814002,"name":"Western Australia, Australia","location":"Western Australia, Australia","child_ids":[],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8595160002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433170002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8595160002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R98","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-06-19T05:35:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;FEQ427R98\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Location: Sydney\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026amp;nbsp;This is a hybrid role based in Sydney.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5622\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5839\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6449\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8641892002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6451291002,"location":{"name":"Pune, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8641892002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ327R324","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-23T00:34:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R324\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You\u0026#39;ll grow as a leader in your field, while finding solutions to our customers\u0026#39; biggest challenges in data engineering, analytics, AI and data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be the \u0026lt;strong\u0026gt;trusted technical advisor\u0026lt;/strong\u0026gt; for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Help shape and drive your customer\u0026#39;s AI strategy\u0026lt;/strong\u0026gt; — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on\u0026amp;nbsp; Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team and provide hands-on technical leadership to help large enterprise\u0026amp;nbsp; customers understand how Databricks can help solve their business problems across the full data and AI lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong consulting / customer-facing experience working with external clients across a variety of industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding experience in Python, SQL, Scala, Java, or R.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems at enterprise scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with at least one major public cloud (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region and occasionally internationally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8637783002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6449819002,"location":{"name":"Delhi, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8637783002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ425R229","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-22T01:59:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ425R229\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect, you will shape the future of the Data \u0026amp;amp; AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor\u0026amp;nbsp;internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You\u0026#39;ll grow as a leader in your field, while\u0026amp;nbsp;finding solutions to our customers\u0026#39; biggest challenges in big data, analytics, data engineering and data science problems\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a Hybrid role, based in Delhi.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with your fellow Solutions Architects, using your skills to support each other and our users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong consulting / customer facing\u0026amp;nbsp;experience , working\u0026amp;nbsp;with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding experience in Python, R, Java, Apache Spark™ or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056343002,"name":"Delhi, India","location":"Delhi, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5898477002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5158296002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":5898477002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-225","title":"Solutions Architect","company_name":"Databricks","first_published":"2022-04-05T10:16:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-225\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Toronto Only\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers\u0026#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer\u0026#39;s needs and build valuable customer engagements and report to the Field Engineering Manager.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Big data engineering (Ex: Spark, Hadoop, Kafka)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Data Warehousing \u0026amp;amp; ETL (Ex: SQL, OLTP/OLAP/DSS)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience translating a customer\u0026#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent in SQL and database technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region up to 30% of the time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,000 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4002841002,"name":"Canada","location":"Canada","child_ids":[4056353002,4012088002,4029646002,4045925002,4033854002,4056354002,4056361002,4011975002,4056724002,4013297002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8633227002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447999002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8633227002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ327R403","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-20T15:38:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Location: Central US\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;REQ ID - FEQ327R403\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8633225002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447998002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8633225002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ327R402","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-20T14:38:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Location:\u0026amp;nbsp; Central US\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;REQ ID FEQ327R402\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056373002,"name":"Remote - Michigan","location":"Remote - Michigan","child_ids":[],"parent_id":4056372002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8559339002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6418980002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8559339002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ327R201","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-08T01:56:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ327R201\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5622\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5839\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6449\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8559342002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6418981002,"location":{"name":"Australian Capital Territory, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8559342002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ327R202","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-05-21T19:57:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ327R202\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: Canberra\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5622\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5839\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6449\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Experience in developing customer relationships with Federal/Defence accounts, and building internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Eligible for NV1 clearance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8368209002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340820002,"location":{"name":"Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Denmark ApS","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8368209002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"FEQ227R44","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-01-22T04:30:46-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ# \u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;FEQ227R44\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Solutions Architect – Data \u0026amp;amp; AI (Presales)\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;Please note that this role requires you to be based in Denmark.\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise.\u0026lt;br\u0026gt;You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What you’ll do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives to drive technical sales cycles and customer outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and deliver proof-of-concepts, demos, and solution prototypes using real data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate business requirements into practical, scalable data and AI solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work through technical challenges with customers, iterating and resolving issues as they arise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute reusable assets, patterns, and best practices that accelerate adoption across customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we’re looking for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Customer-facing mindset\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working with customers in a presales, consulting, or advisory capacity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate complex topics to both technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable leading discussions that connect business goals to technical decisions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Hands-on technical foundation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of data pipelines and modern data architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Data \u0026amp;amp; AI understanding\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with analytics, data science, or machine learning workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Architecture \u0026amp;amp; platform understanding\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms and data technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to design solutions that consider scalability, performance, reliability, and data volumes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What makes you successful in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You are comfortable switching between business dialogue and technical execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You don’t just describe solutions — you can build, validate, and iterate on them in practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You take ownership of technical challenges and push problems forward, even when things are not working as expected\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You apply structured thinking in discovery and can connect requirements to scalable technical solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You understand that AI solutions depend on solid data foundations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are curious and continuously deepen your technical expertise\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4018697002,"name":"Denmark","location":"Denmark","child_ids":[4088148002,4086869002],"parent_id":4000548002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7896350002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6118560002,"location":{"name":"Mexico City"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":7896350002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1383","title":"Solutions Architect","company_name":"Databricks","first_published":"2025-03-06T21:01:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1383\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires candidates to be based in or near Mexico City, Mexico;\u0026amp;nbsp; Candidates from other locations will not be considered.\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;This role will require up to 50% travel in LATAM\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;We are looking for an experienced pre-sales professional with a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our important accounts, leading to more widespread use of our products and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to critical accounts.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-list-tree=\u0026quot;true\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You work with many clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You work very closely with business partners.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You will lead many 1 to many initiatives (webinars, workshops...)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-list-tree=\u0026quot;true\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Proficiency at establishing virtual customer collaboration, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Experience working many accounts at the same time.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;{Nice to have} - Databricks and Cloud Provider Certifications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4094353002,"name":"Mexico","location":"Mexico","child_ids":[4097831002,4094354002],"parent_id":4104404002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8628080002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6445843002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8628080002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R325","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-14T05:19:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R325\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a hands-on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in solutions architecture, technical consulting, or pre-sales, with a strong hands-on approach to solving customer problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The candidate must be able to commute to London offices regularly and travel approximately.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;20-30% of the time across UK\u0026amp;amp;I for customer visits\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438777002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370929002,"location":{"name":"Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8438777002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ427R107","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-05-04T06:53:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ427R107\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect, you will shape the future of the Data \u0026amp;amp; AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor\u0026amp;nbsp;internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You\u0026#39;ll grow as a leader in your field, while\u0026amp;nbsp;finding solutions to our customers\u0026#39; biggest challenges in big data, analytics, data engineering and data science problems\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a Hybrid role, based in Mumbai.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with your fellow Solutions Architects, using your skills to support each other and our users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience\u0026amp;nbsp;with\u0026amp;nbsp;Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong consulting / customer facing\u0026amp;nbsp;experience , working\u0026amp;nbsp;with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding experience in Python, R, Java, Apache Spark™ or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056342002,"name":"Mumbai, India","location":"Mumbai, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8607718002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437987002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8607718002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"P-1570","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-06-26T05:27:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;P-1570\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;This is a Hybrid role, based in Seoul, Korea.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Native level in Korean is required, and proficiency in English is a plus\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603684002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436390002,"location":{"name":"Auckland, New Zealand"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks New Zealand Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8603684002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R342","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-13T20:30:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;FEQ327R342\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;Location: Auckland\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4040880002,"name":"Auckland, New Zealand","location":"Auckland, New Zealand","child_ids":[],"parent_id":4040879002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8605160002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437035002,"location":{"name":"Arizona; California; Utah"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8605160002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R385","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-06-29T00:43:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID - FEQ327R385\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Locations: Arizona, Utah, Southern California\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056386002,"name":"Remote - Arizona","location":"Remote - Arizona","child_ids":[],"parent_id":4033533002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8531153002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6407028002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8531153002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ427R66","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-06-18T04:43:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ# \u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;FEQ427R66\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Solutions Architect – Data \u0026amp;amp; AI (Presales)\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise.\u0026lt;br\u0026gt;You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What you’ll do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Account Executives to drive technical sales cycles and customer outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and deliver proof-of-concepts, demos, and solution prototypes using real data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate business requirements into practical, scalable data and AI solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work through technical challenges with customers, iterating and resolving issues as they arise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute reusable assets, patterns, and best practices that accelerate adoption across customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we’re looking for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Customer-facing mindset\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working with customers in a presales, consulting, or advisory capacity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate complex topics to both technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable leading discussions that connect business goals to technical decisions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Hands-on technical foundation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of data pipelines and modern data architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Data \u0026amp;amp; AI understanding\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with analytics, data science, or machine learning workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Architecture \u0026amp;amp; platform understanding\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms and data technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to design solutions that consider scalability, performance, reliability, and data volumes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What makes you successful in this role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You are comfortable switching between business dialogue and technical execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You don’t just describe solutions — you can build, validate, and iterate on them in practice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You take ownership of technical challenges and push problems forward, even when things are not working as expected\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You apply structured thinking in discovery and can connect requirements to scalable technical solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You understand that AI solutions depend on solid data foundations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are curious and continuously deepen your technical expertise\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8608603002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438207002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8608603002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ427R153","title":"Solutions Architect","company_name":"Databricks","first_published":"2026-07-01T09:43:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;FEQ427R153\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5622\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5652\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;5839\u0026quot;\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6122\u0026quot;\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6353\u0026quot;\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6449\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6470\u0026quot;\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6609\u0026quot;\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6710\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6849\u0026quot;\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;6993\u0026quot;\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6356702002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5370840002,"location":{"name":"Sao Paulo, Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6356702002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-351","title":"Solutions Architect ","company_name":"Databricks","first_published":"2022-09-09T11:10:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-351\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires candidates to be based in or near São Paulo.\u0026amp;nbsp; Candidates from other locations will not be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an experienced pre-sales professional with a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to critical accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with 1-5 clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual customer collaboration, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;{Nice to have} - Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4059191002,"name":"Sao Paulo, Brazil","location":"Sao Paulo, Brazil","child_ids":[],"parent_id":4034119002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8609868002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438712002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8609868002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ327R60","title":"Solutions Architect (Benelux Hunter Pre-sales)","company_name":"Databricks","first_published":"2026-06-26T16:52:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;(FEQ327R60)\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are looking for a Solutions Architect to join our Benelux Hunter Pre-sales team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data \u0026amp;amp; AI platform on greenfield and developing accounts. You aren\u0026#39;t just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is the perfect role for you if you are someone who thrives in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Technical Strategy \u0026amp;amp; Leadership: Lead the technical strategy for greenfield and developing accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data \u0026amp;amp; AI practitioners, business domains and all the way up to C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive Advisory: Act as a trusted advisor to senior leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Adoption: Move beyond \u0026quot;proof of concept\u0026quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentorship: Coach and develop junior members of the team on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;em\u0026gt;*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in technical and client-facing roles with strong skills in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong \u0026quot;AI-Builder\u0026quot; mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud platforms (e.g., Databricks, AWS, Microsoft Azure, GCP, or other relevant platforms) and relevant certifications will be advantageous.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also assess your skills in AI-assisted coding and tooling.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and presentation skills in English required as a minimum.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;This will be an office-based contract (Amsterdam), with a hybrid schedule.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8595123002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433149002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8595123002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R96","title":"Solutions Architect - Casino / iGaming ","company_name":"Databricks","first_published":"2026-06-23T16:15:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R96\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;content\u0026quot; class=\u0026quot;highlighter-context page view\u0026quot; data-inline-comments-target=\u0026quot;true\u0026quot; data-testid=\u0026quot;page-content-only\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;_19pkidpf _2hwx1wug _otyridpf _18u01wug _1bsb1osq\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;main-content\u0026quot; class=\u0026quot;wiki-content css-kkte5r e5xcnr80\u0026quot; data-testid=\u0026quot;pageContentRendererTestId\u0026quot; data-test-appearance=\u0026quot;full-page\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;renderer-overrides\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ak-renderer-wrapper is-full-page cc-1jke4yk\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-s3qfy\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ak-renderer-document\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-fh1tlx\u0026quot; data-testid=\u0026quot;expand-container-expand-expand-title-4\u0026quot; data-node-type=\u0026quot;expand\u0026quot; data-title=\u0026quot;Senior Solutions Architect (L6)\u0026quot; data-expanded=\u0026quot;true\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-4r0ust\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;expand-content-wrapper\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-1jke4yk\u0026quot;\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of customer-facing technical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056380002,"name":"Remote - North Carolina","location":"Remote - North Carolina","child_ids":[],"parent_id":4033542002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6117719002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5257932002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6117719002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-273","title":"Solutions Architect - Digital Native Business","company_name":"Databricks","first_published":"2022-05-17T17:29:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;job-detail-body col-sm-12 col-md-10 col-lg-8 margin-center\u0026quot;\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;P-273\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. \u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;#LI-REMOTE\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;As a Solutions Architect on the \u0026lt;span id=\u0026quot;9256c0e788bc4caf062c850f2d0f7bcf\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;Digital Natives\u0026lt;/span\u0026gt;\u0026amp;nbsp;team,\u0026amp;nbsp;\u0026lt;span id=\u0026quot;6289a2415d73b6c04092aa9ee18a8b30\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;you will\u0026lt;/span\u0026gt;\u0026amp;nbsp;shape the future of the big data landscape by working with the most\u0026amp;nbsp;\u0026lt;span id=\u0026quot;36761e074ece1503f4c5f2d46a2e09a4\u0026quot; class=\u0026quot;editor-module-hl-grey-solid\u0026quot;\u0026gt;sophisticated\u0026lt;/span\u0026gt;\u0026amp;nbsp;data engineering and data science teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;\u0026lt;span id=\u0026quot;bf9858c3f299a45a4be3567b4f236f9f\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;Reporting to the\u0026lt;/span\u0026gt;\u0026amp;nbsp;Field Engineering Manager,\u0026amp;nbsp;\u0026lt;span id=\u0026quot;867de85310728337ddbd896a347f89b6\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;you will\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;span id=\u0026quot;392273954b61feab21aea6fd23569f21\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;collaborate\u0026lt;/span\u0026gt;\u0026amp;nbsp;with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.\u0026amp;nbsp;\u0026lt;span id=\u0026quot;a934cd3fdbdfcdc2323b3dd75bd493af\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span id=\u0026quot;e457fa90ba0cc4e8b585c5c9decedcfd\u0026quot; class=\u0026quot;editor-module-hl-green-solid hovered\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span id=\u0026quot;e2572abe83df6abc8e8417a9dceac594\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;Collaborate\u0026lt;/span\u0026gt;\u0026amp;nbsp;with your fellow Solutions Architects, using your skills to support each other and our users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span id=\u0026quot;ebdffd0e72181e9c4303cddd2342f030\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;5+ years in a\u0026lt;/span\u0026gt;\u0026amp;nbsp;data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, Python and SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in one of the following:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (\u0026lt;em\u0026gt;Ex: pandas, scikit-learn, pytorch, Tensorflow\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.\u0026amp;nbsp; We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560496002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6419344002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8560496002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ327R195","title":"Solutions Architect Digital Natives Mid Market France","company_name":"Databricks","first_published":"2026-05-29T10:42:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ327R195\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Data \u0026amp;amp; Intelligence Platform can help customers solve their complex data challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with \u0026lt;strong\u0026gt;Databrick\u0026#39;s core market (core product)\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;clients within the SMB segment \u0026lt;/strong\u0026gt;in France, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mandatory requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility to travel (up to 30% as required for customer meetings, events and trainings).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business proficiency in both French and English required.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6328361002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5358145002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6328361002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-344","title":"Solutions Architect - Emerging Enterprise","company_name":"Databricks","first_published":"2022-08-19T17:56:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-344\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our customers challenge us with solving some of the world\u0026#39;s toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks\u0026#39; culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present reference architectures, technical guides, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide escalated support for critical customer operational issues\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your strengths to help your fellow SA\u0026#39;s, and drive cross-functional relationships across the company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers (up to 30%, of which 80%+ local to your region)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Solution Architects are customer-facing. You\u0026#39;ll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers, such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in at least one of the following:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies\u0026lt;em\u0026gt; (e.g., Spark, Hadoop, Kafka)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing \u0026lt;em\u0026gt;(e.g., SQL, OLTP/OLAP/DSS)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies \u0026lt;em\u0026gt;(e.g., pandas, scikit-learn, HPO)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Degree in a quantitative discipline \u0026lt;em\u0026gt;(e.g., Computer Science, Applied Mathematics, Operations Research, etc.)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6328388002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5358153002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6328388002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-345","title":"Solutions Architect - Emerging Enterprise (Startups) ","company_name":"Databricks","first_published":"2022-08-19T17:54:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-345\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our customers challenge us with solving some of the world\u0026#39;s toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will build relationships with our customers and establish yourself as a trusted advisor.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks\u0026#39; culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present reference architectures, technical guides, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide escalated support for critical customer operational issues\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your strengths to help your fellow SA\u0026#39;s, and drive cross-functional relationships across the company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers (up to 30%, of which 80%+ local to your region)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Solution Architects are customer-facing. You\u0026#39;ll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers, such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in at least one of the following:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies\u0026lt;em\u0026gt; (e.g., Spark, Hadoop, Kafka)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing \u0026lt;em\u0026gt;(e.g., SQL, OLTP/OLAP/DSS)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies \u0026lt;em\u0026gt;(e.g., pandas, scikit-learn, HPO)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Degree in a quantitative discipline \u0026lt;em\u0026gt;(e.g., Computer Science, Applied Mathematics, Operations Research, etc.)\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8450157002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6375446002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8450157002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"FEQ427R298","title":"Solutions Architect -  Field Engineering (GCC)","company_name":"Databricks","first_published":"2026-05-22T09:57:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ427R298\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You\u0026#39;ll grow as a leader in your field, while finding solutions to our customers\u0026#39; biggest challenges in data engineering, analytics, AI and data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be the \u0026lt;strong\u0026gt;trusted technical advisor\u0026lt;/strong\u0026gt; for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Help shape and drive your customer\u0026#39;s AI strategy\u0026lt;/strong\u0026gt; — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on\u0026amp;nbsp; Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team and provide hands-on technical leadership to help large enterprise\u0026amp;nbsp; customers understand how Databricks can help solve their business problems across the full data and AI lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong consulting / customer-facing experience working with external clients across a variety of industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding experience in Python, SQL, Scala, Java, or R.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems at enterprise scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with at least one major public cloud (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region and occasionally internationally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056343002,"name":"Delhi, India","location":"Delhi, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8605158002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437034002,"location":{"name":"Central - United States; Chicago, Illinois; Massachusetts; New York; North Carolina; Northeast - United States; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8605158002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R368","title":"Solutions Architect - Financial Services (Asset and Wealth Management)","company_name":"Databricks","first_published":"2026-06-24T19:46:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ327R368\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present reference architectures, how-tos, and demonstrate applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to meet with customers in your territory\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Data Warehousing technologies (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056369002,"name":"Remote - Illinois","location":"Remote - Illinois","child_ids":[],"parent_id":4056368002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604470002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436732002,"location":{"name":"Georgia; Illinois; Massachusetts; New Jersey; New York; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8604470002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R386","title":"Solutions Architect - Financial Services (Hunter) ","company_name":"Databricks","first_published":"2026-07-13T09:23:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ327R386\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Financial Services clients is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8231231002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4932621002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8231231002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-146","title":"Solutions Architect - Healthcare/Life Sciences Team (HLS)","company_name":"Databricks","first_published":"2025-10-28T16:31:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-146\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Healthcare \u0026amp;amp; Life Sciences (HLS) space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 35% when needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor Degree in computer science or related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world\u0026#39;s toughest problems. To learn more, follow Databricks on\u0026lt;a href=\u0026quot;https://twitter.com/databricks\u0026quot;\u0026gt; Twitter\u0026lt;/a\u0026gt;,\u0026lt;a href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot;\u0026gt; LinkedIn\u0026lt;/a\u0026gt; and\u0026lt;a href=\u0026quot;https://www.facebook.com/databricksinc/\u0026quot;\u0026gt; Facebook\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4033547002,"name":"New York","location":"New York","child_ids":[4000553002,4056377002],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8085877002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4932621002,"location":{"name":"Remote - Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8085877002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-146","title":"Solutions Architect - Healthcare/Life Sciences Team (HLS)","company_name":"Databricks","first_published":"2025-07-21T21:13:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-146\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Healthcare \u0026amp;amp; Life Sciences (HLS) space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 35% when needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor Degree in computer science or related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world\u0026#39;s toughest problems. To learn more, follow Databricks on\u0026lt;a href=\u0026quot;https://twitter.com/databricks\u0026quot;\u0026gt; Twitter\u0026lt;/a\u0026gt;,\u0026lt;a href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot;\u0026gt; LinkedIn\u0026lt;/a\u0026gt; and\u0026lt;a href=\u0026quot;https://www.facebook.com/databricksinc/\u0026quot;\u0026gt; Facebook\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4033547002,"name":"New York","location":"New York","child_ids":[4000553002,4056377002],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568015002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422230002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568015002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R241","title":"Solutions Architect - Lakebase","company_name":"Databricks","first_published":"2026-06-10T09:20:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor, serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;Competencies \u0026amp;amp; Responsibilities\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567993002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422219002,"location":{"name":"Sao Paulo, Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Brazil LTDA","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8567993002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R230","title":"Solutions Architect - Lakebase","company_name":"Databricks","first_published":"2026-07-20T15:22:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Solutions Architect (Lakebase)\u0026lt;/strong\u0026gt; team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059191002,"name":"Sao Paulo, Brazil","location":"Sao Paulo, Brazil","child_ids":[],"parent_id":4034119002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567985002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422215002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8567985002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R226","title":"Solutions Architect (Lakebase)","company_name":"Databricks","first_published":"2026-06-11T16:47:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R226\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The\u0026amp;nbsp;\u0026lt;strong\u0026gt;Solutions Architect (Lakebase)\u0026lt;/strong\u0026gt; team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568023002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422234002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568023002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R245","title":"Solutions Architect (Lakebase)","company_name":"Databricks","first_published":"2026-06-11T22:26:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R245\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The\u0026amp;nbsp;\u0026lt;strong\u0026gt;Solutions Architect (Lakebase)\u0026lt;/strong\u0026gt; team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568029002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422237002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568029002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R248","title":"Solutions Architect (Lakebase)","company_name":"Databricks","first_published":"2026-06-11T05:26:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R248\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The\u0026amp;nbsp;\u0026lt;strong\u0026gt;Solutions Architect (Lakebase)\u0026lt;/strong\u0026gt; team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6545547002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5277904002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6545547002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-295","title":"Solutions Architect - Manufacturing","company_name":"Databricks","first_published":"2022-12-21T13:06:44-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Location: Chicago, IL | Minneapolis, MN\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Central US.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;You build a movement of technical champions within the account.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;You provide structured mentorship for other team members.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Form relationships with executives and influencers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Technical in big data, data science and cloud.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8434341002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6369097002,"location":{"name":"Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8434341002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ327R75","title":"Solutions Architect - MFG","company_name":"Databricks","first_published":"2026-02-24T16:16:21-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;REQ ID - FEQ327R75\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Location: Dallas-Fort Worth, TX | Northeast US\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your work with customers will include partnering with hands-on resources.\u0026amp;nbsp; You will build proofs-of-concept and demonstrate Databricks\u0026#39; products, and you need to be technical and understand the relevance and application of ML \u0026amp;amp; AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML \u0026amp;amp; AI\u0026#39;s relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain your peers\u0026#39; respect through your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in establishing virtual teams and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building relationships with executives and influencers, both internally and with customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point of view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical experience in data engineering, cloud data warehousing, and/or data science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming expertise in Python, R, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience practicing live/vibe coding sessions with stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033544002,"name":"New Jersey","location":"New Jersey","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407197002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356219002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8407197002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"SLSQ127R199","title":"Solutions Architect Opportunities - Lakebase (Solutions Architect, Sr. Solutions Architect) ","company_name":"Databricks","first_published":"2026-02-18T11:33:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;SLSQ127R199\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Solutions Architect (Lakebase)\u0026lt;/strong\u0026gt; team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437012002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370195002,"location":{"name":"Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437012002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ227R81","title":"Solutions Architect (Pre-sales) - Kansai Region","company_name":"Databricks","first_published":"2026-07-11T09:00:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID:\u0026lt;/strong\u0026gt; FEQ227R81\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: Osaka, Japan\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will be a Big Data Analytics expert on aspects of architecture and design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead your prospects through evaluating and adopting Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate Databricks with 3rd-party applications to support customer architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with the technical community by leading workshops, seminars and meet-ups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience demonstrating technical concepts, including presenting and whiteboarding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with Enterprise Accounts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Written and verbal fluency in Japanese\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437024002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370201002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437024002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ427R293","title":"Solutions Architect (Pre-sales) - Retail/CPG","company_name":"Databricks","first_published":"2026-03-05T09:24:36-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID\u0026lt;/strong\u0026gt;: FEQ427R293\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Retail/CPG field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You\u0026#39;ll grow as a leader in your field, while finding solutions to our customers\u0026#39; biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will be a Big Data Analytics expert on aspects of architecture and design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead your prospects through evaluating and adopting Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate Databricks with 3rd-party applications to support customer architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with the technical community by leading workshops, seminars and meet-ups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience demonstrating technical concepts, including presenting and whiteboarding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with Enterprise Accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Written and verbal fluency in Japanese and English\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8633741002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448204002,"location":{"name":"Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8633741002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ427R58","title":"Solutions Architect - Public Sector (SLED)","company_name":"Databricks","first_published":"2026-07-21T12:40:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ427R58\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;US Citizen\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6049142002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5227304002,"location":{"name":"Remote - Ohio"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6049142002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-256","title":"Solutions Architect, Retail ","company_name":"Databricks","first_published":"2022-07-14T19:07:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel \u0026amp;amp; Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with up to 9 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8452396002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6376308002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8452396002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ227R179","title":"Solutions Architect (Retail/CPG)","company_name":"Databricks","first_published":"2026-03-10T13:46:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;JOB ID: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;FEQ227R179\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London, UK\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Manager, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a hands-on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in solutions architecture, technical consulting, or pre-sales, with a strong hands-on approach to solving customer problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work with customers in the enterprise space, focusing on the \u0026lt;strong\u0026gt;Consumer Packaged Goods (CPG) industry, but you will also consider the Retail industry\u0026lt;/strong\u0026gt;.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The candidate must be able to commute to London offices regularly and travel approximately.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;20-30% of the time across UK\u0026amp;amp;I for customer visits\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6649865002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5227304002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6649865002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-256","title":"Solutions Architect, Retail - CPG","company_name":"Databricks","first_published":"2023-03-03T16:29:01-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8595098002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433136002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8595098002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R325","title":"Solutions Architect, Retail  - Travel \u0026 Hospitality ","company_name":"Databricks","first_published":"2026-07-08T17:18:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ427R325\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;5+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;3+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt; • • \u0026lt;/span\u0026gt;Nice to have: Databricks Certification\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2745\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;Benefits\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3007\u0026quot;\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3078\u0026quot;\u0026gt;401(k) Plan\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3093\u0026quot;\u0026gt;Equity awards\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3110\u0026quot;\u0026gt;Flexible time off\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3131\u0026quot;\u0026gt;Paid parental leave\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3154\u0026quot;\u0026gt;Family Planning\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3173\u0026quot;\u0026gt;Gym reimbursement\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3194\u0026quot;\u0026gt;Annual personal development fund\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3230\u0026quot;\u0026gt;Employee Assistance Program (EAP)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8625374002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433136002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8625374002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R325","title":"Solutions Architect, Retail - Travel \u0026 Hospitality ","company_name":"Databricks","first_published":"2026-07-08T17:20:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ427R325\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;5+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;3+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p2\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt; • • \u0026lt;/span\u0026gt;Nice to have: Databricks Certification\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8625367002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6444768002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8625367002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R396","title":"Solutions Architect, Retail - Travel \u0026 Hospitality ","company_name":"Databricks","first_published":"2026-07-08T17:28:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ327R396\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail, Travel \u0026amp;amp; Hospitality and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail, Travel \u0026amp;amp; Hospitlity and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;5+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;3+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt; • • \u0026lt;/span\u0026gt;Nice to have: Databricks Certification\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2745\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;Benefits\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3007\u0026quot;\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3078\u0026quot;\u0026gt;401(k) Plan\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3093\u0026quot;\u0026gt;Equity awards\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3110\u0026quot;\u0026gt;Flexible time off\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3131\u0026quot;\u0026gt;Paid parental leave\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3154\u0026quot;\u0026gt;Family Planning\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3173\u0026quot;\u0026gt;Gym reimbursement\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3194\u0026quot;\u0026gt;Annual personal development fund\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3230\u0026quot;\u0026gt;Employee Assistance Program (EAP)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8487768002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6390370002,"location":{"name":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8487768002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ227R273","title":"Solutions Architect - Strategic AI Natives","company_name":"Databricks","first_published":"2026-05-11T11:05:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026amp;nbsp;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;#LI-REMOTE\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;As a Solutions Architect on the\u0026amp;nbsp;\u0026lt;span id=\u0026quot;9256c0e788bc4caf062c850f2d0f7bcf\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;Digital Natives\u0026lt;/span\u0026gt;\u0026amp;nbsp;team,\u0026amp;nbsp;\u0026lt;span id=\u0026quot;6289a2415d73b6c04092aa9ee18a8b30\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;you will\u0026lt;/span\u0026gt;\u0026amp;nbsp;shape the future of the big data landscape by working with the most\u0026amp;nbsp;\u0026lt;span id=\u0026quot;36761e074ece1503f4c5f2d46a2e09a4\u0026quot; class=\u0026quot;editor-module-hl-grey-solid\u0026quot;\u0026gt;sophisticated\u0026lt;/span\u0026gt;\u0026amp;nbsp;data engineering and data science teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;\u0026lt;span id=\u0026quot;bf9858c3f299a45a4be3567b4f236f9f\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;Reporting to the\u0026lt;/span\u0026gt;\u0026amp;nbsp;Field Engineering Manager,\u0026amp;nbsp;\u0026lt;span id=\u0026quot;867de85310728337ddbd896a347f89b6\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;you will\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;span id=\u0026quot;392273954b61feab21aea6fd23569f21\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;collaborate\u0026lt;/span\u0026gt; with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. \u0026lt;span id=\u0026quot;a934cd3fdbdfcdc2323b3dd75bd493af\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt; guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span id=\u0026quot;e457fa90ba0cc4e8b585c5c9decedcfd\u0026quot; class=\u0026quot;editor-module-hl-green-solid hovered\u0026quot;\u0026gt;You will\u0026lt;/span\u0026gt;\u0026amp;nbsp;partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span id=\u0026quot;e2572abe83df6abc8e8417a9dceac594\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;Collaborate\u0026lt;/span\u0026gt;\u0026amp;nbsp;with your fellow Solutions Architects, using your skills to support each other and our users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span id=\u0026quot;ebdffd0e72181e9c4303cddd2342f030\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;5+ years in a\u0026lt;/span\u0026gt;\u0026amp;nbsp;data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, Python and SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in one of the following:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (\u0026lt;em\u0026gt;Ex: pandas, scikit-learn, pytorch, Tensorflow\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.\u0026amp;nbsp; We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603711002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436406002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8603711002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R358","title":"Specialist Solutions Architect","company_name":"Databricks","first_published":"2026-07-17T07:39:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;FEQ327R358\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;3\u0026quot;\u0026gt;As a Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;4\u0026quot;\u0026gt;In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide tutorials and training to improve community adoption (including hackathons and conference presentations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;8+ years of experience in a technical role with deep expertise across the following areas:\n\u0026lt;ul data-path-to-node=\u0026quot;5,0,1\u0026quot;\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP \u0026amp;amp; OLTP workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Deep expertise across multiple core data engineering domains, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Production programming experience in SQL and at least one of the following: Python, Scala, or Java.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Degree or Equivalent: Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;3+ years of customer-facing experience in a pre-sales or post-sales technical role.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Ability to meet expectations for technical training and role-specific milestones within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Willingness to travel up to 30% as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4012490002,"name":"Melbourne, Australia","location":"Melbourne, Australia","child_ids":[],"parent_id":4033878002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8382743002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6346880002,"location":{"name":"Seoul, South Korea"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Korea LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8382743002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"FEQ227R130","title":"Specialist Solutions Architect","company_name":"Databricks","first_published":"2026-02-25T10:03:52-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R130\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production level workloads, including end-to-end pipeline load performance testing and optimisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve community adoption (through tutorials, training, hackathons, conference presentations)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will have experience in a customer-facing technical role with expertise in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend production data systems to evolve with complex needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep Specialty Expertise in at least one of the following areas:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience scaling big data workloads that are performant and cost-effective.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Native level Korean is required and Business level English is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056349002,"name":"Seoul, South Korea","location":"Seoul, South Korea","child_ids":[],"parent_id":4033552002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585164002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429144002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8585164002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R299","title":"Specialist Solutions Architect - AI/ML","company_name":"Databricks","first_published":"2026-06-16T01:56:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R299\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML \u0026amp;amp; AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML \u0026amp;amp; AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a Hybrid role, based in Bengaluru.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect production-level ML \u0026amp;amp; AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on industry ML experience in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI Engineer: Experience with the latest techniques in LLMs \u0026amp;amp; agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through ML \u0026amp;amp; AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 3 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8593505002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429144002,"location":{"name":"Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8593505002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R299","title":"Specialist Solutions Architect - AI/ML","company_name":"Databricks","first_published":"2026-06-16T01:58:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R299\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML \u0026amp;amp; AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML \u0026amp;amp; AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a Hybrid role, based in Mumbai.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect production-level ML \u0026amp;amp; AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of hands-on industry ML experience in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI Engineer: Experience with the latest techniques in LLMs \u0026amp;amp; agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through ML \u0026amp;amp; AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 3 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8589834002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356957002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8589834002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ127R316","title":"Specialist Solutions Architect - Azure Cloud Platform \u0026 Infrastructure","company_name":"Databricks","first_published":"2026-06-12T11:38:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ127R316\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Infrastructure \u0026amp;amp; Platform Specialist Solutions Architect (SSA), you will guide customers in the administration and security of their Databricks deployments. You will be in a customer-facing role, working with and supporting Solution Architects. This role requires hands-on production experience with Microsoft Azure. SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more. This role can be remote.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production-level deployments, including meeting necessary security and networking requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist Solution Architects with more advanced aspects of the technical sales process, including custom proof-of-concept content and custom architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide tutorials and training to improve community adoption (including hackathons and conference presentations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in a technical role with deep expertise in Microsoft Azure platform architecture, including cloud security, networking best practices, and designing data platforms on cloud infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep specialized expertise in at least one of the following core domains:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Security \u0026amp;amp; Identity: Platform, network, data, and GenAI/model security, encryption, vulnerability management, compliance, and identity management (Provisioning, SCIM, OAuth, SAML, Federation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Networking \u0026amp;amp; Deployments: Architecture design, implementation, performance optimization, and managing complex, enterprise-scale cloud deployments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with Python, Java, or Scala, and proficiency in SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in a pre-sales or post-sales technical role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to travel up to 30% as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8570023002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6423028002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8570023002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R257","title":"Specialist Solutions Architect - Data Engineering \u0026 Warehousing","company_name":"Databricks","first_published":"2026-06-01T22:41:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R455 - DNB\u0026lt;br\u0026gt;FEQ327R257 - Emerging\u0026lt;br\u0026gt;FEQ327R204 - FinS\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;3\u0026quot;\u0026gt;As a\u0026amp;nbsp;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Specialist Solutions Architect (SSA) - Data Engineering and Warehousing\u0026lt;/span\u0026gt;, you will guide customers through cloud data engineering transformations across a wide variety of use cases.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;4\u0026quot;\u0026gt;In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide tutorials and training to improve community adoption (including hackathons and conference presentations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;5+ years of experience in a technical role with deep expertise across the following areas:\n\u0026lt;ul data-path-to-node=\u0026quot;5,0,1\u0026quot;\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP \u0026amp;amp; OLTP workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Deep expertise across multiple core data engineering domains, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Production programming experience in SQL and at least one of the following: Python, Scala, or Java.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Degree or Equivalent: Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;[Preferred] Prior customer-facing experience in a pre-sales or post-sales technical role.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Ability to meet expectations for technical training and role-specific milestones within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Willingness to travel up to 30% as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8337429002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6329663002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8337429002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"FEQ227R119","title":"Specialist Solutions Architect - Data Warehousing (Healthcare \u0026 Life Sciences)","company_name":"Databricks","first_published":"2025-12-26T15:54:09-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R119\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.databricks.com/customers/all\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.databricks.com/customers/all\u0026amp;amp;source=gmail\u0026amp;amp;ust=1766868713205000\u0026amp;amp;usg=AOvVaw2zO4Rdk9ujgUK18JvHzSy5\u0026quot;\u0026gt;customers\u0026lt;/a\u0026gt;\u0026amp;nbsp;in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture.\u0026amp;nbsp;SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide tutorials and training to improve community adoption (including hackathons and conference presentations)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep Specialty Expertise in at least one of the following areas:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience scaling large analytical data workloads in the cloud that are performant and cost-effective\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience migrating on-premise EDW workloads to the public cloud\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in SQL and Python, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with the AWS, Azure, or GCP clouds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP \u0026amp;amp; OLTP workloads)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2 years customer-facing experience in a pre-sales or post-sales role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 6 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056376002,"name":"Remote - Massachusetts","location":"Remote - Massachusetts","child_ids":[],"parent_id":4033875002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585601002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429284002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8585601002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R288","title":"Specialist Solutions Architect - Platform Security and Cloud Infrastructure","company_name":"Databricks","first_published":"2026-06-19T07:45:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R288\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;This role is based out of Paris and can involve travel up to 30% when needed\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;Specialist Solutions Architect\u0026amp;nbsp; - Platform Security and Cloud Infrastructure\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;As a Specialist Solutions Architect (SSA-SME), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Manager, Field Engineering (Specialist).\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical expertise in cloud infrastructure and security relating to our\u0026amp;nbsp; Databricks Lakehouse Platform\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve community adoption (through tutorials, training, hackathons, conference presentations)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community and act as a technical SME.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identity \u0026amp;amp; Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in one or more of the following languages - Python, Scala, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent work experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The role is located in Amsterdam and requests travel up to 30% when needed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8622164002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443335002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8622164002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R528","title":"Specialist Solutions Architect (Security)","company_name":"Databricks","first_published":"2026-07-07T07:39:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R528\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve community adoption (through tutorials, training, hackathons, conference presentations)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community and act as a technical SME.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identity \u0026amp;amp; Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in one or more of the following languages - Python, Scala, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The role located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604603002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436791002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604603002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R177","title":"Sr. Accounting Manager","company_name":"Databricks","first_published":"2026-07-01T12:04:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R177\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Manager, Accounting, that we are looking to add to the team will lead key areas of our global close, including GL, cloud infrastructure spend, accruals, prepaids, fixed assets, cash, leases, and related balance sheet areas. This is a hands-on, player-coach role leading a small team and reporting to the Senior Director of Accounting.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Close quality is non-negotiable. Success in this role requires both strong operational execution and sound technical accounting judgment. You\u0026#39;ll be expected to apply U.S. GAAP expertise to complex accounting matters, make well-reasoned accounting conclusions, and ensure the team consistently delivers an accurate, audit-ready close. You’ll own a high-quality close today while helping redesign how the close operates tomorrow, partnering closely with the Transformation team and playing a key Accounting role in our SAP implementation.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the monthly, quarterly, and annual close across key global accounting areas, ensuring accuracy, timeliness, and strong control execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop a small team; set clear expectations, coach through the work, and raise the bar on ownership and review quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the adoption of AI and automation across your core close areas leveraging tools like Databricks to automate manual calculations, improve accrual accuracy, accelerate balance sheet reconciliations, and reduce close cycle times\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply strong U.S. GAAP judgment to complex close areas, especially cloud infrastructure spend, vendor spend, usage-based accruals, capitalization considerations, fixed assets, leases, cash, and other accounting areas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own balance sheet integrity for your areas, including reconciliations, flux analysis, variance explanations, and support for period-over-period movements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Standardize and govern global accounting processes across your areas, ensuring consistency across entities and regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our Finance Transformation team to redesign processes, reduce manual work, improve data quality, and accelerate the close.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strengthen SOX compliance, documentation, reconciliations, journal entries, and accrual support.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support external audit requests for your areas with timely, well-supported documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Play a key Accounting role in the SAP implementation, partnering on process design, testing, data readiness, cutover, and post-go-live stabilization for your areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with FP\u0026amp;amp;A, Procurement, AP, and broader Finance teams to resolve issues at the source.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 8+ years of progressive accounting experience, including close ownership across complex global accounting areas such as GL, accruals, prepaids, fixed assets, cash, and leases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership:\u0026lt;/strong\u0026gt; 2+ years of people management experience, with a demonstrated ability to coach and develop others on technical accounting concepts while maintaining a high-quality, efficient close.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Credentials: \u0026lt;/strong\u0026gt;CPA, SOX experience, and Bachelor\u0026#39;s Degree in Accounting or Finance required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Accounting: \u0026lt;/strong\u0026gt;Strong U.S. GAAP judgment and critical thinking; you can reason through complex facts, identify risks, challenge assumptions, and know where to dig deeper.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems \u0026amp;amp; ERP:\u0026lt;/strong\u0026gt; Experience with ERP systems; SAP experience preferred. ERP implementation experience is a plus. Familiarity with tools like FloQast, Zip, or Emburse is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The Automation Mindset: \u0026lt;/strong\u0026gt;Hands-on experience deploying or evaluating AI tools in a finance or accounting context, with proven ability to improve close processes through automation, process redesign, or stronger operating discipline. Familiarity with data platforms like Databricks is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ownership \u0026amp;amp; Mindset:\u0026lt;/strong\u0026gt; High ownership, low ego, detail-oriented, fast-moving, direct communicator, and calm under pressure. Open-minded and change-oriented.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale \u0026amp;amp; Agility: \u0026lt;/strong\u0026gt;High-growth technology company experience strongly preferred. Public accounting background preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$199,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$274,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604605002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436792002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604605002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R178","title":"Sr. Accounting Manager - Close \u0026 Consolidations","company_name":"Databricks","first_published":"2026-07-01T12:10:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R178\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Manager, Close \u0026amp;amp; Consolidations, that we’re looking to add to the team will lead Databricks’ global close and consolidation process as we continue to scale. This is a hands-on, builder-oriented role responsible for overseeing the global close process across Finance, driving close discipline and accountability, and executing the global consolidation process. This role will be reporting to the Senior Director of Accounting.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Close quality is non-negotiable. Success in this role requires strong operational execution, sound technical accounting judgment, and the ability to maintain a big-picture view across entities, regions, systems, processes, and teams. You’ll provide leadership with clear updates on close status, risks, and delays, ensure issues are escalated and resolved timely, and help design how the close process should operate in the future. You’ll also play a key role in our SAP implementation and help build an offshore operating model that supports scale while maintaining strong review, judgment, and accountability.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and drive the global close process across Finance, including key milestones, dependencies, status updates, risks, delays, and escalations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive AI and automation adoption across the close and consolidation process, including automated intercompany eliminations, AI-assisted consolidation variance analysis, and leveraging Databricks to improve data quality, reduce manual journal entries, and accelerate close cycle times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and own the global consolidation process across monthly, quarterly, and annual close, ensuring the consolidated books are complete, accurate, timely, and audit-ready.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead consolidation-related activities, including allocations, cost plus, eliminations, revaluation, intercompany activity, consolidated trial balance review, hedging and related technical close matters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own functional currency assessments for new and existing entities, including evaluating operational impacts of currency designations, monitoring for triggering events that may require reassessment, and ensuring foreign currency translation and revaluation are executed accurately across the global close.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explain quarterly financial statement fluxes, including key drivers, for Auditors and Accounting/Finance leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support new entities, acquisitions, and changes in corporate structure by ensuring close, consolidation, intercompany, and reporting impacts are understood and operationalized.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own chart of accounts structure and governance, ensuring the account structure supports scalable close processes, reporting needs, controls, and future-state operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop team members; set clear expectations, coach through the work, and raise the bar on ownership, review quality, and timeliness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our Transformation team to redesign close processes, reduce manual work, improve data quality, strengthen controls, and accelerate close timing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Play a key Accounting role in the SAP implementation, including close and consolidation process design, chart of accounts structure, testing, data readiness, cutover, and post-go-live stabilization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with FP\u0026amp;amp;A, Technical Accounting, Tax, Treasury, Finance Systems, and broader Finance teams to resolve close issues at the source.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 8+ years of progressive accounting experience, including direct ownership of close and consolidation processes across multiple entities, currencies, and regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership: \u0026lt;/strong\u0026gt;2+ years of people management experience, with a track record of setting high standards, coaching through complex accounting matters, and driving accountability across teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Credentials: \u0026lt;/strong\u0026gt;CPA, SOX experience, and Bachelor\u0026#39;s Degree in Accounting or Finance required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Accounting: \u0026lt;/strong\u0026gt;Deep U.S. GAAP expertise covering consolidation, intercompany accounting, foreign currency translation and revaluation, allocations, cost plus, eliminations, hedging, and functional currency assessments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems \u0026amp;amp; ERP: \u0026lt;/strong\u0026gt;Experience operating in a large ERP environment; SAP experience required. Prior ERP implementation experience strongly preferred. Comfort working with large datasets, system reports, reconciliations, and close management tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;The Automation Mindset: \u0026lt;/strong\u0026gt;Hands-on experience deploying or evaluating AI tools in a finance or accounting context, with a point of view on where automation creates real leverage in a close and consolidation environment versus where judgment and oversight remain critical. Familiarity with data platforms like Databricks is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ownership \u0026amp;amp; Mindset:\u0026lt;/strong\u0026gt; High ownership, low ego, detail-oriented, fast-moving, direct communicator, and calm under pressure. Builder mindset — equally comfortable executing hands-on work and designing scalable future-state processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale \u0026amp;amp; Agility: \u0026lt;/strong\u0026gt;High-growth technology company experience strongly preferred. Experience building, managing, or partnering with offshore/shared-services teams is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$199,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$274,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8546365002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6413667002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8546365002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ327R176","title":"Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector","company_name":"Databricks","first_published":"2026-06-02T10:09:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;strong\u0026gt;: \u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations, \u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop cutting-edge GenAI solutions, incorporating the latest techniques from \u0026lt;a href=\u0026quot;https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering\u0026quot;\u0026gt;Databricks AI research\u0026lt;/a\u0026gt; to solve customer problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own production rollouts of consumer and internally facing GenAI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a trusted technical advisor to customers across a variety of domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present at conferences such as \u0026lt;a href=\u0026quot;https://www.databricks.com/dataaisummit\u0026quot;\u0026gt;Data + AI Summit\u0026lt;/a\u0026gt;, recognized as a thought leader internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in deploying production-grade GenAI applications, including evaluation and optimizations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production-grade machine learning deployments on AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for collaboration, life-long learning, and driving business value through AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel once every 4-8 weeks to see customers (as needed)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056375002,"name":"Remote - Washington D.C.","location":"Remote - Washington D.C.","child_ids":[],"parent_id":4033536002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8603400002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436251002,"location":{"name":"Bengaluru, India; Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8603400002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ227R839","title":"Sr. Alliance Manager","company_name":"Databricks","first_published":"2026-06-29T11:30:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R839\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Team\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The Partner Development Center (PDC) develops Databricks\u0026#39; C\u0026amp;amp;SI partner ecosystem at scale. We accelerate the growth of Rising 100 and active Bronze partners through structured, high-touch engagement, while driving systematic activation of Bronze partners through AI-powered automation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Rising 100 partners receive business plan-led, white-glove engagement: structured development plans, biweekly cadence, and accountability to measurable GTM milestones.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Active Bronze partners are engaged through cohort-based programs designed to build the next generation of high-performing Databricks partners.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This India-based Sr. Alliance Manager is the dedicated PDC resource for EMEA and APJ. You will manage approximately 50 Rising 100 C\u0026amp;amp;SI partners across both regions, with additional accountability for Bronze-tier cohort activation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will own the full partner development lifecycle: joint business plan design and coaching, Bronze-to-Silver progression mechanics, and co-sell coordination with field sales. Daily work involves AEs, Solution Architects, Partner Marketing, Enablement, Legal, and Ops across multiple time zones.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reflects Databricks\u0026#39; deepening investment in India. As we expand COE partnerships with leading global SIs, this hire is the face of that investment for our EMEA and APJ partner ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;What You\u0026#39;ll Do\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Rising 100 White-Glove Engagement\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and manage Joint Business Plans (JBPs) with ~50 Rising 100 SI partners: quarterly KPI setting, milestone tracking, and biweekly coaching cadences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive partners against Rising 100 health metrics: sourced MRR trajectory, certification milestones, 90-day pipeline activity, and Partner Value Score (PVS) lift.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the opt-in commitment model: partner selection, goal-setting, and entry/exit criteria enforcement within your regional cohort.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the regional escalation point for Rising 100 partners. Track where each partner stands against their next milestone before they ask.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bronze Scale Motion and Cohort Activation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and run cohort-based engagement programs for Bronze-tier partners pursuing Silver. Use regional data signals to sequence and prioritize outreach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive partner adoption of milestone-based onboarding: Learning Path completion, Sales Badge attainment, deal registration, and first high-intent lead.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage Salesforce, Outreach, and partner portals to manage engagement at scale. Human touchpoints are allocated based on partner readiness and commercial potential.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;PDC Operations and Cross-Functional Coordination\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own PDC Office Hours and regional partners@ alias management for EMEA/APJ.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate co-sell opportunities with field AEs, driving partner-sourced and partner-influenced pipeline with local country sales and alliance leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Ops and Enablement to identify and remove onboarding friction for India-based development center partners navigating Brickbuilder, certification tracks, and deal registration workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring the voice of the EMEA/APJ partner ecosystem into PDC program design. Distinguish systemic issues from coaching gaps.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Non-Negotiable\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in Partner Sales or Partner Management at a top-tier or high-growth enterprise tech company, with direct, external, partner-facing responsibility.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record designing partner engagement programs: KPI setting, cohort design, tier progression mechanics, and accountability to business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cloud ecosystem fluency: working experience with at least one hyperscaler partner program (AWS, Azure, or GCP), including tier mechanics, certification tracks, deal registration, and co-sell motions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Measurable partner outcomes on record: sourced pipeline, certification attainment, tier progression, or equivalent program KPIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate autonomously across global time zones with no local PDC team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strongly Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct Databricks ecosystem exposure: Brickbuilder program, Partner Value Score (PVS), Bronze/Silver tier requirements, or Databricks Academy certification tracks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing segmented partner populations using data signals to sequence and prioritize outreach across a large cohort.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;India-based SI/consulting ecosystem familiarity: how GSIs like TCS, Infosys, Wipro, Persistent, or Nagarro structure their delivery practices, certification investments, and hyperscaler alliance programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Salesforce, Outreach, partner portals, and BI or analytics tools (Power BI, Tableau, or equivalent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience facilitating virtual enablement sessions: office hours, 1:few partner workshops, webinars.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Person\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Commercial orientation: you read business plans and ask what is actually driving the number. You know when a partnership is performing and when it is coasting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Connector: you know which conversation to have and who needs to be in the room. You bring field AEs, partner leadership, and Databricks product teams to the same table when it matters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Truth-seeker: you go to the source. When data and anecdote conflict, you ask why. You surface what is systemic versus what is fixable through coaching.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner experience: you think about what this program feels like from the partner\u0026#39;s side. Friction in onboarding, slow follow-up, and vague milestone criteria are not small things.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Autonomous operator: you identify what needs to happen, align the right stakeholders, and move. You follow up before being asked.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What Success Looks Like in the First 90 Days\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Joint Business Plans reviewed and refreshed for all active Rising 100 EMEA/APJ partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Regional partner scorecard established: PVS baseline, sourced MRR pipeline, certification count, and deal registration volume per cohort.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bronze cohort engagement sequence designed and piloted for at least one EMEA segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Key cross-functional relationships established with regional field AEs/SAs, local country alliance leaders (including EMEA Alliance team), and Partner Marketing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PDC Office Hours running on a cadenced schedule for EMEA/APJ time zones.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001012002,"name":"Business Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8517602002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6402413002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["People and HR"],"value_type":"multi_select"}],"id":8517602002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"GAQ227R300","title":"Sr. Compensation Manager, G\u0026A","company_name":"Databricks","first_published":"2026-06-12T13:43:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;small\u0026gt;(GAQ227R300)\u0026lt;/small\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our G\u0026amp;amp;A org (Finance, People, Legal, IT), as well as leaders in our international locations.\u0026amp;nbsp; This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent.\u0026amp;nbsp; This role reports to the Senior Director of Compensation.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don\u0026#39;t believe compensation is just a number; it\u0026#39;s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Compensation solutioning for G\u0026amp;amp;A and International talent (40%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing Compensation processes through the employee life cycle (30%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Comp expertise\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know your craft - Job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, pay for performance design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operational and partnership excellence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build innovatively \u0026amp;amp; scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also to think ahead and anticipate future needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational capability - connect the dots between systems, players, and programs to seamlessly deliver compensation programs/ products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Savvy collaborator - partner closely with founders and executive leadership to pre-empt, understand and solve business needs; navigate competing priorities and opinions to drive the best outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor - act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention, transfers, and org changes; support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001271002,"name":"People","child_ids":[4050564002,4001020002,4050563002,4050562002,4050565002],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8627549002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6445617002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["People and HR"],"value_type":"multi_select"}],"id":8627549002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"GAQ327R299","title":"Sr. Compensation Manager GTM","company_name":"Databricks","first_published":"2026-07-14T22:38:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;(GAQ327R299)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our GTM (Go To Market) org.\u0026amp;nbsp; This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent.\u0026amp;nbsp; This role reports to the Senior Director of Compensation.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don\u0026#39;t believe compensation is just a number; it\u0026#39;s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Scope of the role\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Compensation solutioning for GTM talent (40%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing Compensation processes through the employee life cycle (30%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for someone who has the following strengths:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation expertise\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know your craft - Job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, pay for performance design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operational and partnership excellence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build innovatively \u0026amp;amp; scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also to think ahead and anticipate future needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational capability - connect the dots between systems, players, and programs to seamlessly deliver compensation programs/ products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Savvy collaborator - partner closely with founders and executive leadership to pre-empt, understand and solve business needs; navigate competing priorities and opinions to drive the best outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor - act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention, transfers, and org changes; support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$196,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$269,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$185,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$254,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$174,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$239,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001271002,"name":"People","child_ids":[4050564002,4001020002,4050563002,4050562002,4050565002],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8384388002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6347581002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["People and HR"],"value_type":"multi_select"}],"id":8384388002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"GAQ127R143","title":"Sr. Compensation Manager, R\u0026D","company_name":"Databricks","first_published":"2026-01-21T21:26:58-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ127R143\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our R\u0026amp;amp;D org (technology and product teams). This is a key role on the Compensation function at Databricks, reporting to the Senior Director of Compensation. This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don\u0026#39;t believe compensation is just a number; it\u0026#39;s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Scope of the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Compensation solutioning for R\u0026amp;amp;D Talent (40%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing Compensation processes through the employee life cycle (30%)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for someone who has the following muscles:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Comp expertise\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know your craft - Job architecture, Comp frameworks, Market pricing, Year-end and Midyear pay cycle, global compensation practices, pay for performance design\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics though not a requirement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operational and partnership excellence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build innovatively \u0026amp;amp; scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also thinking ahead and anticipating future needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational capability - Ability to connect the dots between systems, players, programs to seamlessly deliver compensation programs/ products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Savvy collaborator - Partner closely with founders and executive leadership to pre-empt, understand and solve business needs. Navigate at times competing priorities and opinions to drive the best outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor - Act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention and M\u0026amp;amp;A scenarios. Support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001271002,"name":"People","child_ids":[4050564002,4001020002,4050563002,4050562002,4050565002],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8426009002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6365523002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Business Development"],"value_type":"multi_select"}],"id":8426009002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R274","title":"Sr. Corporate Development Associate","company_name":"Databricks","first_published":"2026-05-12T20:22:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R274\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks’ Corporate Development \u0026amp;amp; Ventures team partners with leadership to identify and execute acquisitions and strategic investments to support our corporate and product strategy. The Corporate Development \u0026amp;amp; Ventures Senior Associate will be a critical member of the team, helping to drive end-to-end transactions from sourcing through evaluation and execution. Databricks is among the most active strategic acquirers and investors across enterprise software, having completed 15+ acquisitions and 55+ investments since 2023.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Help develop M\u0026amp;amp;A and investment strategy:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify and qualify high-impact M\u0026amp;amp;A and Databricks Ventures opportunities by partnering with Executive leadership, Product, Engineering, and Partnerships teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct strategic evaluations of M\u0026amp;amp;A and investment opportunities; communicate findings in business case memos and executive presentations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a comprehensive view of competitive and market trends to inform strategic decision-making and keep stakeholders updated on the evolving ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Support transactions end-to-end:\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-functional due diligence processes, working closely with Databricks’ cross-functional deal team during the entire transaction lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the primary author of executive and Board materials.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with our M\u0026amp;amp;A Integration team to drive post-close integration planning (e.g., operational alignment, cross-functional coordination).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build our Corporate Development function:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with investors, investment bankers, founders, and other stakeholders in our ecosystem; run thesis-led outreach to originate opportunities and gather market intel.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement processes, templates, and tooling to enhance team efficiency and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help scale our cross-functional M\u0026amp;amp;A processes for larger and more complex acquisitions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree required; Computer Science, Engineering, or other STEM fields is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of work experience in product management, investment banking, private equity, management consulting, corporate development, or venture capital; exposure to enterprise software or the data infrastructure sector is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and writing abilities paired with rigorous qualitative and quantitative analytical skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong judgment, ownership, and cross-functional leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design to drive deal processes autonomously as the deal lead.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$133,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$183,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8570007002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6423018002,"location":{"name":"Bellevue, Washington; Chicago, Illinois; Denver, Colorado; Mountain View, California; New York City, New York; San Francisco, California; Seattle, Washington; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Legal"],"value_type":"multi_select"}],"id":8570007002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"GAQ327R204","title":"Sr. Counsel, Commercial","company_name":"Databricks","first_published":"2026-06-04T16:12:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R204\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for an experienced attorney to join our Commercial Legal team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role supports Databricks\u0026#39; sales organization on complex SaaS and other commercial transactions with sophisticated enterprise customers, including customers in regulated industries. You will independently lead negotiations, advise on deal strategy, and work as part of a collaborative team supporting Databricks\u0026#39; data and AI business. The role is well-suited for an attorney who exercises strong judgment and translates legal complexity into clear, practical advice for business stakeholders. This position reports to the Senior Director \u0026amp;amp; Associate General Counsel, Commercial.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead complex commercial transactions from first engagement through signature, including drafting and negotiating SaaS MSAs and related security, privacy, and AI terms, as well as order forms, statements of work, and related transaction documents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Sales, Deal Desk, Finance, Security, Privacy, Product, and other stakeholders to resolve issues that affect deal execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise on issues that arise in enterprise technology transactions, including data privacy, information security, artificial intelligence, intellectual property, and open source software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help improve templates, fallback positions, guidance, and contracting processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide concise, practical legal advice that balances legal risk with commercial objectives\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of relevant technology transactions experience at a law firm and/or in-house legal department\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and cloud transactions with enterprise customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, AI-related terms, intellectual property, and open source software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting cloud, infrastructure, platform, or other technology companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and prioritization skills, and the ability to manage multiple matters effectively\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting enterprise customers, including in regulated industries, is preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Juris Doctor and active bar membership in good standing in at least one U.S. jurisdiction\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$197,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$186,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8570003002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6423016002,"location":{"name":"Bellevue, Washington; Seattle, Washington; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Legal"],"value_type":"multi_select"}],"id":8570003002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"GAQ427R191","title":"Sr. Counsel, Product","company_name":"Databricks","first_published":"2026-07-06T17:44:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ427R191\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks’ engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection, and AI.\u0026amp;nbsp; This role will report to the Assistant General Counsel, Product.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate expertise in product counseling, data protection laws, marketing, and technology transactions, as well as the capacity to be a generalist and learn new areas of law and legal skills quickly.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exercise keen business and legal judgment. You know when to say “yes”, “no, unless …”, and “no”, but you also know when to escalate concerns.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to developing processes to improve our product counseling function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide end-to-end product counseling - from ideation to end of life.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with teams across Databricks and close external partners that are building, deploying, and operating technology for external and internal users.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work cross-functionally with the commercialization, product marketing, marketing, and communications teams to bring our transformative offerings to market.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs with respect to product issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deeply understand product and data risk issues to be able to hear and answer questions that aren’t asked and translate technical and security concerns into answers understandable to non-technical lawyers.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist your product stakeholders in developing process improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Draft and update form agreements regarding products and services, and negotiate product and security-related changes to customer contracts, including those in DPAs and BAAs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide general legal support on a flexible, as-needed basis with respect to other areas of the business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with potential vendors to understand data flows to determine privacy and data protection risk, and coordinate with the privacy legal team as appropriate.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise on cybersecurity issues as a member of incident response teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a team player to further the legal department\u0026#39;s reputation as an effective, respected, and valued resource within the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with a minimum of 2 years focused experience in product, privacy, and/or IP law\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AI, FedRAMP requirements, or payments a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working for a company offering platform services to business customers is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical background -- either an engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or significant life experience as a general technology nerd\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;State bar membership required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working with distributed teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to exercise good judgment in raising issues and when collaborating with others\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding written and verbal communication skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$302,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000554002,"name":"Washington, D.C.","location":"Washington, D.C.","child_ids":[],"parent_id":4033536002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8459031002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6378880002,"location":{"name":"Bellevue, Washington; Seattle, Washington; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Legal"],"value_type":"multi_select"}],"id":8459031002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"GAQ227R179","title":"Sr. Counsel, Regulatory","company_name":"Databricks","first_published":"2026-03-13T19:55:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ227R179\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location: \u0026lt;/strong\u0026gt;We\u0026#39;re looking to hire for this role locally to our offices based in Washington D.C., Bellevue, or Seattle. This will be a hybrid role with in-office expectations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a talented Senior Counsel, Regulatory to join our expanding Legal team to lead our response to the rapidly evolving global regulatory landscape. This position will sit on our Corporate Legal team and is a unique opportunity to build and own a new, cross-functional regulatory practice while providing business-focused legal advice to stakeholders throughout Databricks on a daily basis.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The global regulatory environment has expanded outside of privacy and trade compliance with a wave of complex directives emerging across the US, EU, UK, Australia and other jurisdictions. You will serve as our primary internal subject matter expert on regulatory matters outside of privacy and export controls—orchestrating advice and contributions across Engineering, Product, Security, Commercial Legal, Product Legal, GTM Legal, Corporate Operations, and Finance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be agile, highly organized, and have the skills, drive, and flexibility to support and accelerate a leading technology company, addressing cutting-edge legal issues and organizational challenges. A successful candidate will be a resourceful self-starter, comfortable working in a fast-paced and dynamic environment, and excellent at building strong relationships.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What you’ll do:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Serve as the primary internal subject matter expert on emerging global regulatory frameworks outside of privacy and export controls—including DORA, NIS-2, CSR, EU Data Act, EU AI Act, CRA, DMA, and DSA—as well as various global antitrust and competition regimes and payments regulation\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Lead and drive the strategic implementation of these complex legislative requirements, taking ownership of the centralized regulatory roadmap, triage process, and incident response playbooks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Partner cross-functionally to embed regulatory compliance by design into the architecture of the Data Intelligence Platform, Lakehouse, and agentic AI workflows, providing early visibility into regulatory blocker issues before they derail product launches or customer deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Partner closely with Product Legal, Commercial Legal and GTM Legal to unblock high-stakes enterprise deals and partnerships, draft specialized negotiation fallbacks, and build scalable, customer-facing collateral to accelerate the sales cycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Act as the empowered regulatory point of contact on customer calls for white-glove and highly regulated customers (e.g., financial services and public sector), making decisions and proactively implementing new playbook fallbacks to maintain deal velocity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Work directly with Corporate Operations to operationalize regulatory compliance controls, bridging the gap between legal advice and business execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Support strategic international expansion efforts, including navigating local AI and data regulations proactively and future-proofing for EU data sovereignty\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Stay current on relevant legal developments and industry trends to offer proactive advice, training, and support to the business, while leading OKRs to continuously improve and scale processes related to regulatory compliance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Build strong relationships with internal stakeholders across multiple geographical locations to ensure effective communication and collaboration\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; At least 8 years of experience at a nationally recognized law firm and / or in-house legal department, with substantial focus on technology, data, or regulatory matters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; J.D. from a top-tier law school\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; Member of a state bar in good standing for U.S. candidates\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You have demonstrated experience advising on global data, digital, and / or technology regulation; familiarity with frameworks such as the EU AI Act, EU Data Act, DORA, NIS-2, the DSA, or the DMA, or analogous regimes, is strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You have experience supporting SaaS, cloud, or data-platform products, and comfort partnering directly with Engineering, Product, and Security teams to operationalize regulatory requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You have experience supporting commercial and go-to-market teams in customer-facing negotiations, including with enterprise customers in highly regulated sectors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You are able to understand challenging and novel issues, assess risk, and provide concise, actionable, business-focused legal advice and counsel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You can build strong and deep working relationships with internal stakeholders over multiple geographical locations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You can coordinate, prioritize, and manage deadlines, workflow, and execute in a fast-paced and demanding work environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You are a self-starter with the capability to operate independently and to interact confidently with senior management when required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp; You have a strong work ethic, excellent organizational skills, and can manage many cross-functional projects simultaneously with minimal supervision\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$197,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001017002,"name":"Legal","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8611106002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439211002,"location":{"name":"Central - United States; Northeast - United States; Southeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8611106002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"CSQ427R47","title":"Sr. Delivery Partner Manager, FDE","company_name":"Databricks","first_published":"2026-07-01T17:20:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R47\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. You will shape the future of big data and the machine learning landscape for leading Fortune 500 organizations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Forward Deployed Engineering (FDE) Delivery Partner Manager \u0026lt;/strong\u0026gt;supports the mission of the FDE team, which is to\u0026lt;strong\u0026gt; accelerate and de-risk our customers\u0026#39; business outcomes\u0026lt;/strong\u0026gt; through effective enablement and delivery of Databricks platform technology. This is an individual contributor role that will oversee the Databricks Delivery Partner Program which looks to use close partnerships with key system integrators to effectively co-deliver Databricks services engagements.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with the FDE team in order to use \u0026lt;strong\u0026gt;Databricks delivery partners to accelerate our customer project outcomes\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and develop FDE relationships with \u0026lt;strong\u0026gt;Global System Integrators (GSIs), Regional System Integrators (RSIs), regional Partner team \u0026lt;/strong\u0026gt;to support bi-directional pipeline review and bi-directional engagements (subcontracting, and advisory) for company priorities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a \u0026lt;strong\u0026gt;RFP process\u0026lt;/strong\u0026gt; to support Partner Selection for large complex multi year, multi phase \u0026lt;strong\u0026gt;migration\u0026lt;/strong\u0026gt; deals. Create templates, scorecards to supplement partner selection with a data driven approach.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Spearhead and lead efforts to incubate and ramp new partners with \u0026lt;strong\u0026gt;Gen AI\u0026lt;/strong\u0026gt; capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive MBRs and QBRs with \u0026lt;strong\u0026gt;priority partners\u0026lt;/strong\u0026gt;, and develop long term roadmaps for PS Partner delivery priorities. Develop scorecards and feedback loops to segment partners by focus areas, regions and company priorities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive\u0026lt;strong\u0026gt; delivery governance\u0026lt;/strong\u0026gt; to ensure partner quality and delivery on Services led and partner supported implementations. Support global programs to measure partner quality such as CSAT, Partner Survey and program governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead programs that align with our \u0026lt;strong\u0026gt;FDE \u0026amp;amp; Partner strategy \u0026lt;/strong\u0026gt;for Assurance and advisory services. Work with our cross-functional channel teams to enable GSIs, RSIs, SIs on Assurance services, and support bi-weekly reviews and deal governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support \u0026lt;strong\u0026gt;Partner IP efforts\u0026lt;/strong\u0026gt; such as the creation of service delivery kits to better scale our ecosystem.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Liaison with Delivery Partner organizations to ensure personnel have the required level of training and certification in order to achieve Databricks projects following best practices. Champion and provide thought leadership for \u0026lt;strong\u0026gt;specialization \u0026lt;/strong\u0026gt;programs. You will implement and lead programs for achieving requirements and exceeding delivery quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain an \u0026lt;strong\u0026gt;effective onboarding process for partner resources\u0026lt;/strong\u0026gt; ensuring effective utilization and quality of services across Databricks customer deliveries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the \u0026lt;strong\u0026gt;Databricks resource management team \u0026lt;/strong\u0026gt;to oversee the pipeline planning process with each of the delivery partners, ensuring partner resource availability in a timely manner to support Databricks services opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Allocation and outsourcing of Projects to Services partners. This includes selecting the appropriate partner for the project and working with the partner closely to ensure project success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with our legal, people operations and other cross functional organization to \u0026lt;strong\u0026gt;support bi directional contractual negotiations\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for the Partner\u0026#39;s needs internally; managing any escalations and issues on projects being delivered by partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop, implement, and monitor Key Performance Indicators for each Services partner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach, Mentor junior members of the team, and partner resource\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive industry experience including resource management and demand pipeline management and record of success in navigating and driving engagements with large enterprise organizations with a focus on FDE\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience within a FDE or consulting organization as a partner Manager, and/or Consulting Manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing partner or third-party organization enablement including upskilling teams to provide delivery capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excel at working directly with Partners and customers to gather, prioritize, plan and execute solutions to customer business requirements as they relate to technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing commercial agreements with partners including statements of works to support services management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$140,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$132,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$182,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$124,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$171,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8105504002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6210691002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8105504002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"CSQ326R424","title":"Sr. Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-04T01:20:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ326R424\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8511500002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399937002,"location":{"name":"West Coast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8511500002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ227R319","title":"Sr. Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-25T18:41:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ227R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105413002,"name":"Field Engineering - FE Invested DSA","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033544002,"name":"New Jersey","location":"New Jersey","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8538914002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6410282002,"location":{"name":"Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8538914002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R190","title":"Sr. Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-05-19T18:46:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R190\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056342002,"name":"Mumbai, India","location":"Mumbai, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549058002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414730002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8549058002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ327R19","title":"Sr. Delivery Solutions Architect","company_name":"Databricks","first_published":"2026-06-08T23:55:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R19\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;As a Sr. Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritised customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8469076002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6382900002,"location":{"name":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8469076002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ227R250","title":"Sr. Delivery Solutions Architect - AI Native","company_name":"Databricks","first_published":"2026-04-24T13:19:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are on a mission to empower our customers to solve the world\u0026#39;s toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your account and use cases through leading your customers\u0026#39; stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with Solutions Architects to understand the full use case demand plan for prioritized customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Main use cases moving from ‘win’ to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enablement / user growth plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organic needs for current investment (e.g. cloud cost control, tuning \u0026amp;amp; optimization)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive and operational governance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL or Scala\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of solution architecture related distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to attribute business value and outcomes to specific project deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical program, or project management including account, stakeholder and resource management accountability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience resolving complex and important escalation with senior customer executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting open-ended discovery workshops,\u0026amp;nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of overachievement against quota, Goals or similar objective targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001270002,"name":"Delivery Solutions Architects","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8125173002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6218900002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8125173002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1448","title":"Sr. Designated Support Engineer, Apache Spark™","company_name":"Databricks","first_published":"2025-08-19T13:50:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1448\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;About the Role\u0026lt;/h2\u0026gt;\n\u0026lt;h3 data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;\u0026lt;sup\u0026gt;Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a\u0026amp;nbsp;strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.\u0026lt;/sup\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-path-to-node=\u0026quot;11\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,0,0\u0026quot;\u0026gt;Manage large strategic accounts to provide a high-touch support experience.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,1,0\u0026quot;\u0026gt;Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,2,0\u0026quot;\u0026gt;Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg).\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,3,0\u0026quot;\u0026gt;Project manage all open support cases to expedite support ticket closure.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,4,0\u0026quot;\u0026gt;Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,5,0\u0026quot;\u0026gt;Directly engage on business-impacting situations and ensure recovery of functionality for the customer.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,6,0\u0026quot;\u0026gt;Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,7,0\u0026quot;\u0026gt;Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,8,0\u0026quot;\u0026gt;Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,9,0\u0026quot;\u0026gt;Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;11,10,0\u0026quot;\u0026gt;Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-path-to-node=\u0026quot;13\u0026quot;\u0026gt;What We Look For\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-path-to-node=\u0026quot;14\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,1,0\u0026quot;\u0026gt;Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large-scale data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,2,0\u0026quot;\u0026gt;Minimum 3 years’ experience designing, developing, testing, and sustaining Python/Java/Scala-based applications required.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,3,0\u0026quot;\u0026gt;Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine).\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,4,0\u0026quot;\u0026gt;Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out-of-memory (OOM) errors, serialization issues, and slow-running broadcast joins.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,5,0\u0026quot;\u0026gt;Highly effective with project managing multiple tasks and work streams, driving them to conclusion.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,6,0\u0026quot;\u0026gt;Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;14,6,0\u0026quot;\u0026gt;Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preference for customer-facing experience as a Support Engineer, Technical Account Manager, DSE, or in related production support areas\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8428818002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366800002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8428818002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R269","title":"Sr. Developer Advocate - Neon","company_name":"Databricks","first_published":"2026-02-19T14:01:20-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R269\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Are you a passionate Developer Advocate at heart? Someone who loves bringing the community together, hosting and speaking at events, and diving deep into application development and developer experience?\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Databricks Developer Advocate on the Neon DevRel team, you’ll serve as a key link between our engineering teams and the growing community of application and agent developers building on Postgres and Neon. You’ll use your technical expertise to help maintain and extend our SDKs, educate and inspire our users, and shape the future of Agent and Developer Experience (AX \u0026amp;amp; DX) for Neon.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Developer experience will be at the core of your role. You’ll help maintain our TypeScript SDK and CLI, Neon’s MCP server, and other developer-facing tools — with a strong focus on staying ahead of the AI curve. You’ll share your expertise in DevTools and AX through talks, meetups, blog posts, videos, and community engagement. Your work will empower both agents and developers to build more effectively with Neon, while showcasing our commitment to world-class DX and AX.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll collaborate closely with the neon.com community, as well as product and engineering teams, ensuring developer feedback directly informs product direction. You’ll also partner with fellow advocates, program managers, and the broader Databricks DevRel organization to deliver a cohesive and impactful agent experience strategy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate embodies the values of our DevRel team: deep passion for application development, strong empathy for developer needs, and the ability to communicate complex ideas clearly and effectively.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you’ll educate and grow the Neon community through high-quality technical content and hands-on experiences — while continuously feeding insights back into the product to elevate the developer experience even further.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;More about the Neon DevRel team\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Neon is Databricks’ product-led growth Serverless Postgres and BaaS platform, built with the vision of helping developers ship faster. Delivering on this mission depends on building trust and recognition within a growing community of application developers, while also serving the broader Databricks user base.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The neon.com DevRel team at Databricks is focused on building and strengthening relationships with agent and application developers, while also expanding its reach into areas like code generation and AI-driven development. Our primary goal is to drive awareness, enablement, and driving community of the neon.com platform through a product-led growth motion.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enhance and develop customer-facing SDKs \u0026amp;amp; libraries to empower builders to succeed with Neon\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create developer-focused content that helps Neon users discover new features, solve real problems, and grow their skills on the platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive adoption and excitement not just by speaking at events, but by engaging with the community, building connections, and strengthening a shared sense of belonging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce educational and community-focused assets: videos, tutorials, sample projects, blog posts, and resources driven by community feedback and questions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand and engage the Neon community through conference presence and online spaces (e.g., Discord).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with product and engineering to surface insights from the community and ensure developer needs influence roadmap decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create and manage programs that deepen engagement, such as creator and ambassador initiatives, open source collaborations, and other developer-focused movements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Actively gather, analyze, and amplify community feedback to continuously improve Neon’s product experience and developer journey.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience as a Developer Advocate, software engineer, solutions architect, or a related role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to take ownership of outcomes and deliver with minimal supervision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional experience building and shipping software or data solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated skill in creating impactful technical content tailored to developers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep empathy for developer needs, with the ability to provide clear answers in community spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery in at least one core advocacy skill (e.g., public speaking, technical writing, live demos, curriculum development).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Applied expertise in specific product components, with the ability to translate them into practical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills, including strong presentation abilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of active involvement in developer communities (meetups, forums, open source, user groups) and success collaborating across functions to achieve shared goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$149,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$205,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568151002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422290002,"location":{"name":"Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8568151002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"SLSQ327R394","title":"Sr. Director, Enterprise - Retail Vertical - Strategic Accounts ","company_name":"Databricks","first_published":"2026-05-28T13:09:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R394\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations (East Coast) will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Remote - NYC\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Remote - NJ\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Remote - Atlanta\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Remote - Boston\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Remote - Chicago\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;We are looking for a Sales Director to join our growing business. You will lead an existing team of Strategic Enterprise Account Executives and you will be measured by achieving your team’s overall quota and growing Databricks usage. This is a team of Strategic Account Executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;Lead, grow and inspire the Strategic Enterprise Account Executives to help them overachieve on their goals and objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;Develop trust-based relationships with customers and partners to ensure long-term success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;You live the Databricks’ core values and instill them in the team you are leading.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;You will have 5+ years of successfully building and leading high-growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;History of exceeding quota and thriving in hyper-growth Enterprise technology companies.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Strong Retail industry experience is preferred\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$440,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$605,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076800002,"name":"Exec Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8632399002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447639002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8632399002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"GAQ327R229","title":"Sr. Director, Procure to Pay","company_name":"Databricks","first_published":"2026-07-24T17:52:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R229\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Senior Director of Procure to Pay (P2P) is a senior operational and strategic leader responsible for owning the global P2P engine — spanning procurement operations, third party risk and onboarding, accounts payable, financial controls, and the systems and automation infrastructure that tie them together. This role will transform P2P from a transactional function into a scalable, intelligent operating model: automating end-to-end workflows from intake through payment, deploying AI-driven orchestration for approvals and exception handling, and establishing real-time spend visibility and controls across all third-party spend.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;P2P Strategy \u0026amp;amp; Operating Model\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute the global P2P strategy, establishing a unified, scalable operating model that spans procurement operations and accounts payable across all geographies and business units.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and own the P2P transformation roadmap, prioritizing initiatives across automation, AI-driven workflow orchestration, systems modernization, and process standardization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish a cohesive governance framework covering policy, controls, approval authority, and compliance — ensuring the P2P function operates with financial rigor and audit readiness at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the executive voice of the P2P function, translating operational performance into clear narratives and strategic recommendations for CFO and cross-functional leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;End-to-End P2P Automation (Intake → Payment)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the full automation agenda across the procure-to-pay lifecycle — from intake and requisition through purchase order issuance, goods receipt, invoice processing, and supplier payment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the design, deployment, and continuous optimization of automated workflows that eliminate manual effort, reduce cycle times, and increase throughput without adding headcount.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Finance Technology and IT to evaluate, implement, and integrate P2P platforms, ERP modules, and point solutions that support the automation roadmap (e.g., Zip, Coupa, Ariba, SAP, Zip, Tipalti, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive catalog expansion, guided buying adoption, and touchless PO rates to minimize off-contract and non-PO spend.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;AI-Driven Workflow Orchestration\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Champion the deployment of AI and machine learning capabilities within the P2P stack — including intelligent routing, automated approvals, exception identification, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define use cases and success metrics for AI-driven automation across requisition intake, invoice matching, approval escalation, and payment risk scoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with data and engineering teams to build AI-powered workflows that continuously learn from transaction data and reduce manual exception handling over time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure all AI-driven processes maintain appropriate human oversight, audit trails, and compliance controls.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Real-Time Spend Visibility \u0026amp;amp; Financial Controls\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a real-time spend management framework — providing leadership with current, accurate, and actionable visibility into committed spend, open obligations, and payment flows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and enforce financial controls across the P2P lifecycle, including three-way match, delegation of authority, supplier payment terms, and duplicate payment prevention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own P2P compliance and risk management, including internal audit readiness, SOX-related controls where applicable, and supplier fraud prevention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with FP\u0026amp;amp;A and Accounting to ensure P2P data flows accurately support budgeting, accruals, and month-end close processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish KPI dashboards and reporting cadences covering PO compliance, invoice cycle time, touchless rate, on-time payment, and supplier satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Global Process Standardization at Scale\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the standardization of P2P processes across all global regions — eliminating fragmentation, localizing where legally required, and creating a single, consistent operating standard.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a global P2P playbook: documented SOPs, workflow diagrams, training materials, and control frameworks that scale across geographies and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with regional finance, legal, and compliance teams to ensure global P2P processes adhere to local regulatory requirements, tax obligations, and supplier payment regulations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive change management and adoption programs to embed new processes and systems across a distributed global workforce.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Team Leadership \u0026amp;amp; Organizational Development\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop a high-performing global P2P team spanning procurement operations and accounts payable — setting clear expectations, developing talent, and building a culture of ownership and continuous improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the optimal team structure and operating model as the business scales, including decisions around insourcing, outsourcing, and shared services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build strong cross-functional relationships with Strategic Sourcing, Legal, IT, Finance, and business unit leaders to ensure P2P is a trusted, enabling function — not a bottleneck.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attract, retain, and develop top operational talent with deep P2P expertise and a growth mindset.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Required\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of progressive experience in procure-to-pay, procurement operations, or shared services, with at least 3–5 years in a senior leadership role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record designing and executing P2P transformation programs — including automation implementation, system rollouts, and operating model redesign — at global scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep functional expertise across both procurement operations (requisition, PO management, supplier onboarding) and accounts payable (invoice processing, payment, reconciliation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with enterprise P2P platforms and ERP systems (Zip, Coupa, Ariba, Concur, Emburse, Ramp, SAP, Oracle, or equivalent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong command of financial controls, compliance frameworks, and audit requirements relevant to third-party spend and AP operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead and develop global, distributed teams across multiple time zones and cultures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional executive communication skills — able to translate operational complexity into clear strategy and crisp reporting for senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Finance, Business, Supply Chain, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying AI, machine learning, or intelligent automation capabilities within a P2P or finance operations context.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with SOX controls, internal audit processes, and risk frameworks as they apply to AP and procurement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in high-growth technology or software companies where speed, scale, and financial discipline are equally prioritized.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading shared services or business process outsourcing (BPO) transitions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MBA or advanced degree; CPSM, CPM, or AP/finance certification a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$237,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$326,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$213,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$294,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$202,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$277,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076793002,"name":"Exec Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8469396002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6382985002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8469396002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"CSQ227R247","title":"Sr. Engagement Manager","company_name":"Databricks","first_published":"2026-04-08T03:17:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R247\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Engagement Manager is responsible for helping customers accelerate value through the adoption of the Databricks platform working with them defining and orchestrating the required engagement to ensure success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Field Engineering, Partners Support and Product Teams on campaigns, programs, and content. You will report to the Sr. Director, Professional Services\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the sales counterpart and engages early in the sales process to seek to understand our customer\u0026#39;s needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities for new services by understanding and addressing potential new use-cases and the ability to articulate the business value in the upsell, or extension of services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop commercial models including leveraging Databricks and Partner investment vehicles to help address our customer budgetary constraints for success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training KPIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits. Responsible for estimating, scoping and developing the statement of work documents as necessary\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data and AI domain knowledge and experience working with customers to realise business value through to production implementations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent customer-facing skills and the ability to communicate with and develop strong relationships at all levels including with senior executives both internally and externally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistent track record of identifying customer needs and successfully implementing solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate strong leadership experience, the ability to enforce good project governance and drive delivery excellence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in estimating effort and scope for services\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in meeting and achieving KPI and targets including CSAT, Bookings and Revenue.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding communication and customer relationship skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8543937002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6412684002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8543937002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R193","title":"Sr. Engagement Manager","company_name":"Databricks","first_published":"2026-05-20T09:38:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R193\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks’ broader platform growth, ensuring our customers achieve measurable business value from their investments.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate services into platform deals, ensuring customers achieve measurable business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach and mentor junior Engagement Managers, supporting peer development and best practice adoption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong background in customer-facing roles, including consulting, solutioning, and executive engagement, with the ability to engage in architecture-level discussions and translate technical designs into business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep industry expertise with the ability to “speak the language” of customers and demonstrate relevant use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in Professional Services sales and delivery leadership, ideally in the Data \u0026amp;amp; AI domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid technical knowledge of data and AI platforms (preferably Databricks) with the ability to scope and solution services engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong program management and delivery oversight skills, with the ability to align cross-functional teams to customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, influencing, and negotiation skills across executives, technical teams, partners, and internal stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8509189002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399088002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8509189002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"CSQ327R64","title":"Sr. Engagement Manager, Forward Deployed Engineering Digital Native Business","company_name":"Databricks","first_published":"2026-04-16T16:32:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R64\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization for our Digital Native Business (DNB) customers as well as to account teams and customers for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Leadership:\u0026lt;/strong\u0026gt; Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Selling:\u0026lt;/strong\u0026gt; Drive the full-cycle sales of standard and customized Professional Services \u0026amp;amp; Training (PS\u0026amp;amp;T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Account Growth:\u0026lt;/strong\u0026gt; Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Alignment:\u0026lt;/strong\u0026gt; Partner with Sales and GTM teams to prioritize regional PS\u0026amp;amp;T targets aligned with growth goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Sentiment:\u0026lt;/strong\u0026gt; Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7-10 years running a Professional Services line of business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years in senior customer-facing roles with a mix of influencing and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of PS\u0026amp;amp;T offerings, including Partner funding programs (Microsoft, AWS, Google).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Databricks architecture, competitors, and migration benefits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of managing large-scale program plans and service delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel up to 25-50% as required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$199,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$130,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$179,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$123,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$169,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$115,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$159,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8530605002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6406795002,"location":{"name":"Remote - Mexico "},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Mexico","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8530605002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R29","title":"Sr. Engagement Manager, Forward Deployed Engineering - LATAM","company_name":"Databricks","first_published":"2026-05-11T18:23:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R29\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in Latin America (LATAM) for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Leadership:\u0026lt;/strong\u0026gt; Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Selling:\u0026lt;/strong\u0026gt; Drive the full-cycle sales of standard and customized Professional Services \u0026amp;amp; Training (PS\u0026amp;amp;T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Account Growth:\u0026lt;/strong\u0026gt; Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Alignment:\u0026lt;/strong\u0026gt; Partner with Sales and GTM teams to prioritize regional PS\u0026amp;amp;T targets aligned with growth goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Sentiment:\u0026lt;/strong\u0026gt; Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7-10 years running a Professional Services line of business.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years in senior customer-facing roles with a mix of influencing and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of PS\u0026amp;amp;T offerings, including Partner funding programs (Microsoft, AWS, Google).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Databricks architecture, competitors, and migration benefits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of managing large-scale program plans and service delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel up to 25-50% as required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4094354002,"name":"Remote - Mexico","location":"Remote - Mexico ","child_ids":[],"parent_id":4094353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8510921002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399737002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8510921002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"RDQ427R330","title":"Sr. Engineering Manager - Agentic Service Platform ","company_name":"Databricks","first_published":"2026-04-20T19:12:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ427R330\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Engineering Manager on the Agentic Service Platform team, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. The team\u0026#39;s goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently. The team owns the core agentic service platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language. The team’s work is high-leverage - a single improvement we ship benefits thousands of production services and thousands of engineers across the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and scale a multi-faceted team of talented engineers, which may include line managers and senior/staff ICs, building core agentic service platform infrastructure used by every service at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and set the multi-year technical strategy and organizational roadmap for a critical, cross-cutting domain within the agentic service platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive and ensure the predictable, high-quality delivery of complex, multi-quarter/multi-year strategic initiatives, often spanning multiple teams and product areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion the career development and growth of engineers and managers, including coaching senior (L5/L6) ICs and guiding line managers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively align and influence product and engineering leadership across multiple partner organizations to ensure the long-term success of the platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of engineering management experience leading strong technical teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of high technical judgment in building and operating large-scale distributed systems, and a deep understanding of customer interactions with platform products across multiple components.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in attracting, hiring, and retaining top-tier talent and experience coaching and mentoring line managers or senior/staff level ICs. Proven ability to handle complex performance management and promotion cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Existing experience building and running cloud platforms, or demonstrated ability to quickly learn new concepts in the SaaS space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8621706002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5547709002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8621706002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-932","title":"Sr. Engineering Manager, AI Runtime","company_name":"Databricks","first_published":"2026-07-06T16:42:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks\u0026#39; AI Runtime (AIR) product provides enterprises with an API for training and fine-tuning deep learning and LLM models with on-demand GPUs. Whether it\u0026#39;s a transformer model for drug discovery or a fine-tuned foundation model, customers use this team\u0026#39;s training infrastructure to build state-of-the-art frontier models.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of AIR. You\u0026#39;ll shape customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas, collaborating closely across the platform, product, infrastructure, and research organizations.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and grow a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure, including distributed training orchestration, cluster lifecycle, fault tolerance, and training efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and own the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery, from ideation and prioritization to launch and operation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and product design for managed GPU training at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build observability and reliability practices for long-running, multi-node training jobs, including checkpoint strategies, failure recovery, and operational runbooks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with recruiting to attract, hire, and develop top-tier engineering talent.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of software engineering experience, with 3+ years in engineering management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record building and operating managed GPU training infrastructure at scale (100s/1000s GPUs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with distributed training frameworks (PyTorch, DeepSpeed, Composer, Megatron-LM) and parallelism strategies (FSDP, tensor/pipeline parallelism).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with training resilience patterns: checkpointing, elastic training, and automated failure recovery for long-running jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of GPU performance fundamentals including NCCL, interconnect topologies, and memory optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building platform products with clear SLAs where you\u0026#39;ve owned the customer experience, not just the backend.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional leadership across platform, product, and research teams, with the ability to lead through ambiguity and deliver complex projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent collaboration and communication skills across engineering, product, and research organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS in Computer Science, Electrical Engineering, or related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$297,120 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8436912002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370150002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8436912002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"P-1600","title":"Sr. Engineering Manager - Customer Experience Intelligence (CXI)","company_name":"Databricks","first_published":"2026-02-25T00:30:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1600\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We build and run the world’s leading data and AI infrastructure platform so customers can transform deep data insights into business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers and grounded in customer obsession, we embrace every opportunity to tackle complex technical challenges — from creating next-generation UI/UX for interacting with data to scaling our services across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Senior Engineering Manager for Customer Experience Intelligence (CXI), you will architect, lead and deliver Databricks\u0026#39; AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect the Agentic Ecosystem:\u0026lt;/strong\u0026gt; Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale across multiple domains: \u0026lt;/strong\u0026gt;Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineered Reliability:\u0026lt;/strong\u0026gt; Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Complex Workflows:\u0026lt;/strong\u0026gt; Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise-Grade Observability:\u0026lt;/strong\u0026gt; Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Leadership:\u0026lt;/strong\u0026gt; Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the Bar:\u0026lt;/strong\u0026gt; Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and Cultivate:\u0026lt;/strong\u0026gt; Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating AI-native workflow products or platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience leading and growing software engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to combine software engineering, AI capabilities, operational workflows, and product thinking into cohesive customer experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product judgment with the ability to translate ambiguous operational problems into intuitive workflows and measurable business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced influencing across multiple engineering and product organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal skills with the ability to articulate complex strategies clearly and concisely.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$222,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$312,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4033534002,"name":"California","location":"California","child_ids":[4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002],"parent_id":4056355002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8190108002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6246002002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8190108002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"RDQ426R230","title":"Sr. Engineering Manager - Notebook Dataplane","company_name":"Databricks","first_published":"2025-09-29T15:21:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ426R230\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will lead the Notebook Dataplane team, which is responsible for running user code in the Notebook. We are undergoing an exciting architecture transformation to run stateful user code as a service for the product teams, providing a reliable and low-latency service for the Serverless products and power agentic workloads. A strategic investment area for the company. As the Sr. Engineering Manager, you will play a critical role in driving the technical vision, architecture, and execution for the service. You will lead a team of\u0026amp;nbsp; software engineers and recruit new team members to realize the vision.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and drive the stateful user code execution service vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with serverless platform teams to build the service.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the roadmap and execution, ensuring all team deliverables are met with high quality and on schedule.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with teams across the stack.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of software engineering experience, with a strong track record of technical leadership and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of engineering management experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, building, and operating scalable SaaS platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong system-level skills. Experience with containers and K8S is highly desirable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for the data intelligence space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Why join us:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on high-impact, high-visibility initiatives that directly contribute to Databricks\u0026#39; growth trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor a talented team of engineers solving challenging, customer-centric problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation in a fast-paced, data-driven environment where your work helps shape the future of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8467083002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5720867002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8467083002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1110","title":"Sr. Engineering Manager - Pipelines Engine","company_name":"Databricks","first_published":"2026-03-17T18:21:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1110\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We are the Lakeflow Engineering team,\u0026amp;nbsp; responsible for Databricks ETL product line: \u0026lt;a href=\u0026quot;https://docs.databricks.com/aws/en/jobs/\u0026quot;\u0026gt;Jobs\u0026lt;/a\u0026gt;, \u0026lt;a href=\u0026quot;https://www.databricks.com/product/data-engineering/spark-declarative-pipelines\u0026quot;\u0026gt;Spark Declarative Pipelines\u0026lt;/a\u0026gt;, and \u0026lt;a href=\u0026quot;https://www.databricks.com/blog/introducing-genie-code\u0026quot;\u0026gt;Genie Code for Data Engineering\u0026lt;/a\u0026gt;. We run one of the world\u0026#39;s biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We\u0026#39;re seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;The main responsibilities include:\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;You will build processes to implement product vision and strategy, according to organizational goals and priorities.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;You will build software that is not just high quality but easy to operate.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;You will manage technical debt, including long-term technical architecture decisions and balance product roadmap.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Minimum 3 years of experience in managing top-tier engineering teams\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;A passion for database systems, storage systems, distributed systems,\u0026amp;nbsp; or performance optimization\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience working with product management, and directly with customers; ability to understand customer needs.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;sub\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.\u0026lt;/span\u0026gt;\u0026lt;/sub\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$317,233 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8570001002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6423015002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8570001002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"GAQ327R188","title":"Sr. Equity Admin Analyst","company_name":"Databricks","first_published":"2026-07-15T12:26:28-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ327R188\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks’ Finance team is looking for an experienced and proactive global stock plan administrator to assist with the development and scaling of a world-class equity program. The successful candidate will work with the Senior Manager of Stock Administration and be responsible for hands-on, end-to-end administration of Datbricks’s global equity plans on Shareworks Private Market solution (including but not limited to options, RSUs and warrants). The ideal candidate will have at least 6 years of private and public company experience and be exceptionally organized, responsible, detail-oriented, and resourceful.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Administer the company’s equity plans for all employees globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with the internal tax and payroll team regarding global plan management, including tax withholding, compliance, and related matters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Process and manage all stock transactions for the global workforce and tax payments associated with each transaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide a superior level of customer service to employees, management, and others.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support employee understanding of equity awards, and company programs, and policies by providing live and recorded presentations to new and existing employees.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist the Stock Admin Manager in working with inside and outside counsel to monitor global compliance developments for our global stock plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform data entry and manage daily and cyclical stock administration processes for grants, stock option exercises, terminations, and leaves using Shareworks private company platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand and have working knowledge and experience in the application of accounting rules associated with stock-based compensation (ASC-718).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare monthly reconciliations of option grants, exercises, RSU releases, grant cancellations, and outstanding share balances.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist the Stock Admin Manager with global reporting requirements to ensure compliance with each jurisdiction’s rules and regulations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare custom reports and reconciliations to assist in the review of equity and transaction data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in providing supporting documents for internal/external SOX auditors and respond accurately, thoroughly, and timely to requests for data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform other duties and ad hoc requests as requested.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain an effective partnership with internal Legal, Finance, Tax, Payroll, and PeopleOps.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of relevant experience in the administration of global equity plans (ideally for both private and publicly traded U.S. companies). Bachelor’s degree required, CEP Level III, or equivalent certification preferred/ minimum of CEP Level I required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of stock plans and various equity award types.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;General understanding of equity taxation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An expert in the use of Shareworks and Excel (pivot tables, V-lookups).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of effectively collaborating with cross-functional groups (e.g., Finance, Legal, Accounting, Payroll, HR).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience working directly with Shareworks and other major third-party equity software systems and brokerage firms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Workday experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated analytical abilities and Excel skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8523677002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6404389002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Administration"],"value_type":"multi_select"}],"id":8523677002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"GAQ327R186","title":"Sr. Executive Assistant","company_name":"Databricks","first_published":"2026-04-30T14:32:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R186\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re seeking a highly experienced Senior Executive Assistant to provide comprehensive support to our Chief Operating Officer (COO). This role is ideal for someone with extensive experience supporting senior leaders in fast-paced, high-growth environments, particularly within global software or technology organizations. As a trusted partner to the COO, you will play a pivotal role in operationalizing strategic initiatives, managing complex scheduling needs, and driving cross-functional collaboration across departments such as Sales, Marketing, Engineering, People, and Product. You will also oversee the planning and execution of strategic events and community-building initiatives for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In addition to these responsibilities, this role requires expertise in managing global travel logistics and customer engagement planning to maximize the COO’s impact during business trips.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure the COO is fully prepared for all meetings with an accurate, forward-looking calendar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate shifting priorities and high-pressure environments with unyielding grit, maintaining a \u0026quot;calm in the storm\u0026quot; presence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deploy a deep functional comfort with AI tools to synthesize data, automate routine administration, and accelerate decision-making cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively manage and prioritize the COO’s schedule to optimize productivity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with internal and external stakeholders to ensure timely responses and seamless communication.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance the COO’s efficiency by streamlining workflows, enabling a more productive team and company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute strategic initiatives with precision, delivering measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curate customer engagement plans for business travel to ensure maximum impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Calendar Management\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Organize all meetings, including team meetings, customer engagements, and internal business partner discussions across international time zones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain records of all meeting requests while adhering to strict SLAs for responses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure every meeting is high-intent, featuring detailed agendas and AI-generated pre-reads and summaries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Global Travel Planning\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage complex global travel arrangements for the COO, who travels at least one week per month (domestic and/or international).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI tools to research travel efficiencies, automate expense management, and perform sentiment analysis on account data prior to customer meetings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with account teams to identify high-value customer meetings, reviewing account data and spend to ensure travel yields maximum ROI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle end-to-end travel logistics while maintaining attention to detail in itineraries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a high-grit liaison between the COO and senior leadership, driving accountability on long-term projects despite shifting sands.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track dozens of concurrent workstreams across Engineering and Go-To-Market functions, ensuring no \u0026quot;broken threads\u0026quot; in communication.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Event Management\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Plan offsite meetings, events, and programs in support of the COO and their team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Administrative Support\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide coverage for other executive staff members during absences (e.g., PTO or maternity leave).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in preparing expense reports promptly.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h4\u0026gt;Experience:\u0026amp;nbsp;Minimum of 10+ years of executive administrative and/or program management experience supporting C-Suite level executives in global software or technology organizations.\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven expertise in managing global travel logistics for executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with VPs/SVPs overseeing large teams (2,000+ employees) in technical roles such as engineering or customer-facing functions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with high-growth environments and hyper-scaling companies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Skills:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exceptional organizational skills with a high level of attention to detail.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Google Calendar and Gmail suite for calendaring, organization, and presentation creation, editing needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with the use of AI to help with travel planning and other administrative tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong relationship management skills; ability to build networks across departments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent oral and written communication skills tailored for senior leaders and external partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to synthesize business/customer data into actionable insights for strategic planning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to prioritize and thrive in a high-paced environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Attributes:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ability to work under pressure with shifting priorities while maintaining professionalism.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactive problem-solving capabilities with a focus on delivering results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Possess the mental toughness to thrive in environments where the roadmap changes weekly. You are energized, not drained, by speed and ambiguity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You don\u0026#39;t wait for instructions; you anticipate needs three steps ahead and execute with minimal supervision.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$155,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$213,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070586002,"name":"Corporate Operations","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8487325002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6390186002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Administration"],"value_type":"multi_select"}],"id":8487325002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"RDQ427R337","title":"Sr. Executive Assistant","company_name":"Databricks","first_published":"2026-03-31T18:31:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R337\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a highly capable, process-driven, and proactive Executive Assistant to support a Senior Leader within Product \u0026amp;amp; Engineering, while also supporting our SVP of Corporate Development \u0026amp;amp; Ventures.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The primary mission of this person is to support our Engineering and Product leaders, partnering with them to operationalize their teams\u0026#39; cross-functional strategies. You will serve as a key liaison across various departments—including Sales, Marketing, IT, and other critical functions—to ensure alignment and execution. Additionally, you will drive strategic initiatives and community events that foster collaboration across the Engineering and Product organizations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While deeply rooted in supporting a massive internal engineering footprint, this high-visibility, fast-paced role sits at a unique intersection. You will also manage the rhythm of a deal-driven corporate development environment, triaging incoming requests from startups, founders, and investors, and handling highly sensitive, confidential information with absolute discretion.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively prioritize the calendar and schedule meetings in a timely manner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide timely responses to all stakeholder requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance the Engineering leader\u0026#39;s time efficiency, leading to a more productive team and company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute strategic initiatives well, delivering on defined outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Calendar Management:\u0026lt;/strong\u0026gt; Organizes all meetings across international time zones, including but not limited to internal engineering team meetings, customer meetings, internal business partners, and external venture/M\u0026amp;amp;A requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Request Tracking \u0026amp;amp; SLAs:\u0026lt;/strong\u0026gt; Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests from both internal technical staff and external stakeholders (founders, investors, bankers).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Meeting Preparation:\u0026lt;/strong\u0026gt; Ensures all meeting invites have the appropriate details, context, and documentation to have an effective meeting, protecting executive focus time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Event Management:\u0026lt;/strong\u0026gt; Manages offsite meetings, events, and programs in support of the leaders and their staff, ensuring team events, leadership dinners, or investor meetings are executed with polish and precision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational \u0026amp;amp; Travel Support:\u0026lt;/strong\u0026gt; Manages briefing materials, executive correspondence, and select domestic and international travel, anticipating needs before they are expressed to keep leaders operating at full capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Confidentiality \u0026amp;amp; Discretion:\u0026lt;/strong\u0026gt; Handles sensitive, non-public information—including product roadmaps, M\u0026amp;amp;A targets, term sheets, and board-level matters—with the judgment and professionalism appropriate to that trust.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Team Coverage:\u0026lt;/strong\u0026gt; May be required to support other executive staff members if there\u0026#39;s a coverage gap due to PTO, sickness, maternity leave, or other absences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Minimum of 7+ years\u0026lt;/strong\u0026gt; of applicable executive administrative experience, ideally from a global software organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven track record\u0026lt;/strong\u0026gt; working with VPs/SVPs in Engineering and Product in large organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience working with VPs\u0026lt;/strong\u0026gt; managing over 2000+ people in engineering, customer-facing, and/or technical roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ability to work at a fast pace\u0026lt;/strong\u0026gt; with shifting priorities in a hyper-scaling, high-growth company, with experience directly supporting an executive staff member.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High attention to detail\u0026lt;/strong\u0026gt;, organization, and process abilities; structured thinking with an operational mindset that can bring order to chaos.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong calendaring skills\u0026lt;/strong\u0026gt; (Gmail and Google Calendar experience mandatory).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong relationship management skills\u0026lt;/strong\u0026gt; and the ability to build a personal network throughout the company; you earn trust quickly and know how to work through organizational complexity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong teamwork skills\u0026lt;/strong\u0026gt;, and a confident ability to offer suggestions and improvements to the process, and work very collaboratively with others.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong oral and written communication\u0026lt;/strong\u0026gt; with the ability to communicate clearly and effectively with senior leaders, developers, and external partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technology Fluency:\u0026lt;/strong\u0026gt; A genuine curiosity about technology, high-growth companies, and the AI/data landscape. Comfortable dealing with engineers, technical leaders, and opinionated entrepreneurs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Why This Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work alongside the core engine of Databricks and one of the most active corporate development teams in enterprise tech. This role offers deep exposure to how a top-tier data and AI company grows through both engineering innovation and strategic acquisitions. Our leaders value a true partnership—someone who grows into the role, develops deep context about the business and ecosystem, and becomes an indispensable part of how the team operates.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$141,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$194,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8583037002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428303002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8583037002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ327R216","title":"Sr. Field Technical Program Manager, Forward Deployed Engineering","company_name":"Databricks","first_published":"2026-07-02T11:54:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R216\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Field Technical Program Manager (TPM) role in our Forward Deployed Engineering team, you will play a pivotal role in delivering complex technical projects that drive customer success and our business growth. Forward Deployed Engineering is part of the Field Engineering (FE) organization, the technical arm of Databricks’ customer-facing teams.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The TPM position understands our customers’ business goals and can steer technical projects from beginning to end with exceptional outcomes. You will start on projects after a statement of work is agreed (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage.This role serves as the essential link between the Field Engineering teams and internal groups, including Sales, Product, and Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Outcomes:\u0026lt;/strong\u0026gt; Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Project Planning: \u0026lt;/strong\u0026gt;Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Project Execution \u0026amp;amp; Risk Management: \u0026lt;/strong\u0026gt;Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Stakeholder Management: \u0026lt;/strong\u0026gt;Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership:\u0026lt;/strong\u0026gt; Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Knowledge: \u0026lt;/strong\u0026gt;Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Process Improvement:\u0026lt;/strong\u0026gt; Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Background: A Bachelor\u0026#39;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Certifications: PMP, CSM, or related program management certification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark™.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$140,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$132,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$182,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$124,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$171,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8586460002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429555002,"location":{"name":"Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8586460002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ327R209","title":"Sr. Field Technical Program Manager, Forward Deployed Engineering - Canada","company_name":"Databricks","first_published":"2026-07-02T11:52:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R209\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Sr. Field Technical Program Manager, Forward Deployed Engineering - Canada\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team\u0026#39;s mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our Canadian customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Acumen \u0026amp;amp; Decision Making:\u0026lt;/strong\u0026gt; A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Program \u0026amp;amp; Project Management:\u0026lt;/strong\u0026gt; Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Leadership:\u0026lt;/strong\u0026gt; Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with BI, data management, and big data technologies is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549259002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6414769002,"location":{"name":"Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8549259002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ427R136","title":"Sr. Field Technical Program Manager, Forward Deployed Engineering - Public Sector","company_name":"Databricks","first_published":"2026-07-02T11:49:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R136\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Sr. Field Technical Program Manager, Forward Deployed Engineering - Public Sector\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team\u0026#39;s mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our U.S. Government customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Acumen \u0026amp;amp; Decision Making:\u0026lt;/strong\u0026gt; A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Program \u0026amp;amp; Project Management:\u0026lt;/strong\u0026gt; Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication \u0026amp;amp; Leadership:\u0026lt;/strong\u0026gt; Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with BI, data management, and big data technologies is preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The candidate must be clearable with the US Government.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$140,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$193,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8514430002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6401165002,"location":{"name":"Western Australia, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8514430002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R141","title":"Sr. Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-04-21T23:02:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R141\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to\u0026#39;s and production grade MVPs / Greenfield projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide an escalated level of support for customer operational issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope and timelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with clients and managing conflicts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20 - 30% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8578144002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6426278002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8578144002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ327R248","title":"Sr. Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-06-04T01:39:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R248\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer in our Forward Deployed Engineering team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Forward Deployed Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to\u0026#39;s and production grade MVPs / Greenfield projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide an escalated level of support for customer operational issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope and timelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with clients and managing conflicts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20 - 30% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568173002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422302002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8568173002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"CSQ327R52","title":"Sr. Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-06-12T07:40:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req ID: CSQ327R52\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent in Japanese with a professional working proficiency in English\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8516116002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6401787002,"location":{"name":"Melbourne, Australia; Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8516116002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R184","title":"Sr. Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-05-19T21:53:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R184\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;message-list\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;message-list\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;message-list_1779240213.173819\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration \u0026amp;amp; Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div id=\u0026quot;message-list_bottomSpacer\u0026quot;\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8534142002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6408277002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8534142002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ327R142","title":"Sr. Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-06-09T21:57:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R142\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration \u0026amp;amp; Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461239002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Atlanta, Georgia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461239002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T16:04:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to\u0026#39;s and productionalizing customer use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engagement managers to scope variety of\u0026amp;nbsp; professional services work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide an escalated level of support for customer operational issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant end-to-end data architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope and timelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with clients and managing conflicts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461163002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461163002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:18:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461168002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Los Angeles, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461168002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:18:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461193002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461193002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:54:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461218002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Dallas, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461218002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:56:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461219002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Austin, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461219002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:56:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to\u0026#39;s and productionalizing customer use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engagement managers to scope variety of\u0026amp;nbsp; professional services work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide an escalated level of support for customer operational issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant end-to-end data architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope and timelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with clients and managing conflicts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461220002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461220002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:57:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461222002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Boston, Massachusetts"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461222002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T15:57:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461258002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Raleigh, North Carolina"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461258002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T16:30:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461226002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461226002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T16:01:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461251002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461251002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T16:06:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461241002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461241002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T16:04:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461243002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Denver, Colorado"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461243002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-03-12T16:06:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494153002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331276002,"location":{"name":"Philadelphia, Pennsylvania"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494153002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R318","title":"Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment \u0026 Games","company_name":"Databricks","first_published":"2026-04-03T17:42:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R318\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8488399002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6390651002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8488399002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"CSQ227R258","title":"Sr. Forward Deployed Engineer (FDE) - Digital Native Business ","company_name":"Databricks","first_published":"2026-04-07T17:20:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R258\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647743002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6390651002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647743002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"CSQ227R258","title":"Sr. Forward Deployed Engineer (FDE) - Digital Native Business ","company_name":"Databricks","first_published":"2026-07-23T14:59:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R258\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438791002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8438791002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592908002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Atlanta, Georgia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592908002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592928002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Dallas, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592928002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592937002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Boston, Massachusetts"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592937002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592952002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592952002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592951002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Charlotte, North Carolina"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592951002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592938002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592938002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592939002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"Philadelphia, Pennsylvania"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592939002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8592942002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370936002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8592942002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R59","title":"Sr. Forward Deployed Engineer (FDE) - Financial Services","company_name":"Databricks","first_published":"2026-06-22T11:56:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ327R59\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494148002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"Philadelphia, Pennsylvania"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494148002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-03T17:40:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494145002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"Austin, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494145002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-03T17:38:28-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494144002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"Dallas, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494144002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-03T17:38:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494143002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494143002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-03T17:37:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494146002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"Atlanta, Georgia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494146002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-03T17:38:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494142002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"Boston, Massachusetts"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494142002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-04-03T17:37:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8371312002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342220002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8371312002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ127R310","title":"Sr. Forward Deployed Engineer (FDE) - Healthcare \u0026 Life Sciences","company_name":"Databricks","first_published":"2026-03-06T10:13:30-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R310\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494154002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331277002,"location":{"name":"Boston, Massachusetts"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494154002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R319","title":"Sr. Forward Deployed Engineer (FDE) - Manufacturing","company_name":"Databricks","first_published":"2026-04-03T17:46:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494156002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331277002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494156002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R319","title":"Sr. Forward Deployed Engineer (FDE) - Manufacturing","company_name":"Databricks","first_published":"2026-04-03T17:46:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494155002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331277002,"location":{"name":"Philadelphia, Pennsylvania"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494155002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R319","title":"Sr. Forward Deployed Engineer (FDE) - Manufacturing","company_name":"Databricks","first_published":"2026-04-03T17:46:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8341313002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331277002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8341313002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"CSQ127R319","title":"Sr. Forward Deployed Engineer (FDE) - Manufacturing","company_name":"Databricks","first_published":"2025-12-17T13:09:09-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ127R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8456975002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Dallas, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8456975002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ227R88","title":"\tSr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-03-10T11:40:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494137002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Austin, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494137002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"\tSr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:35:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8423296002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Central - United States; Northeast - United States; Southeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8423296002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-03-02T09:39:06-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494149002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Philadelphia, Pennsylvania"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494149002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:41:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8461321002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8461321002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-03-12T16:34:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8456973002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Boston, Massachusetts"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8456973002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-03-10T11:40:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494130002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494130002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:30:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8356289002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6336823002,"location":{"name":"Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8356289002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ227R175","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-01-08T11:59:11-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R175\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494128002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494128002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:29:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494108002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6336823002,"location":{"name":"Maryland"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494108002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ227R175","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:12:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R175\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. government Top Secret clearance is required\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494107002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6336823002,"location":{"name":"Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494107002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"CSQ227R175","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:12:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R175\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. government Top Secret clearance are required\u0026lt;/strong\u0026gt;\u0026amp;nbsp;to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8494147002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6364251002,"location":{"name":"Atlanta, Georgia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8494147002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"CSQ227R88","title":"Sr. Forward Deployed Engineer (FDE) - Public Sector","company_name":"Databricks","first_published":"2026-04-03T17:41:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ227R88\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;PLEASE NOTE\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;Due to federal contract requirements and client site access obligations,\u0026amp;nbsp;\u0026lt;strong\u0026gt;U.S. citizenship and eligibility for a U.S. government secret clearance are required\u0026lt;/strong\u0026gt; to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647677002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647677002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-23T14:32:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8643895002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Northeast - United States; Southeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8643895002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-22T11:17:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647667002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647667002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-23T14:30:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647668002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Austin, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647668002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-23T14:30:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647669002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Chicago, Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647669002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-23T14:30:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647670002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Dallas, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647670002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-23T14:31:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647675002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6452119002,"location":{"name":"Denver, Colorado"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8647675002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"CSQ427R168","title":"Sr. Forward Deployed Engineer (FDE) - Retail","company_name":"Databricks","first_published":"2026-07-23T14:31:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R168\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data \u0026amp;amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers\u0026#39; successful understanding, evaluation and adoption of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\u0026#39;s needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in data engineering, data platforms \u0026amp;amp; analytics, or software engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with CI/CD for production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of MLOps, ML/AI models and AI APIs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with enterprise clients and managing conflicts across a broad stakeholder range\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers 20% of the time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,208 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439172002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371106002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8439172002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ327R144","title":"Sr. GSI Partner Specialist Solutions Architect","company_name":"Databricks","first_published":"2026-04-30T13:34:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R144\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;As a Partner Solutions Architect, you will focus on cultivating technical relationships with one of our largest Global C\u0026amp;amp;SI partners. You will strengthen our relationships with key data and application leaders to accelerate indirect revenue, enable their data and application development practices, and execute on long-term GTM strategy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Technical Partnership:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Be a technical partner and thought leader to the Databricks GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. You will embed with the partner technical teams to enable their practices, support troubleshooting, evangelize Databricks in their developer communities, and serve as an escalation point for complex technical issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Joint Solution Development:\u0026lt;/strong\u0026gt; Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Deal Support:\u0026lt;/strong\u0026gt; Intervene directly to unblock strategic customer deals where the partner is the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner Ecosystem \u0026amp;amp; Events:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Represent Databricks at partner events (PKO, DAIS, EBC, etc), customer workshops, AWS/Azure summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Feedback:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Validate and gather feedback on Databricks products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant product teams to inform product roadmap and partner strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in technical customer- and partner-facing roles, including Solutions Architect, Sales Engineer, Partner Sales Engineer, and Technical Account Manager\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming experience in Python, SQL, or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of partnering with Global C\u0026amp;amp;SIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong presentation and technical communication skills with technical and business stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with common Agentic frameworks, application development, or a background in machine learning or data science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excitement to engage in cross-organizational collaboration, work through trade-offs, and balance competing priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A love of teaching, mentoring, and helping others succeed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for thinking creatively about how to use technology in a way that is safe and beneficial, ultimately advancing AI systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493168002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392450002,"location":{"name":"Costa Rica"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Costa Rica SRL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":8493168002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"GAQ127R40","title":"Sr. IT Site Reliability Software Engineer","company_name":"Databricks","first_published":"2026-05-18T20:43:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ127R40\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Team:\u0026lt;/strong\u0026gt; IT Infrastructure and Operations\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks Information Technology, we are a product-led organization transforming how we work—from the ease of using our IT services to the applications we develop to scale seamlessly during rapid growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Site Reliability Engineer (SRE)\u0026lt;/strong\u0026gt;, you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms. This role requires a strong software engineering mindset and deep technical breadth to deliver high-quality, scalable solutions for \u0026quot;immature\u0026quot; system problems. Your focus will be on building resilient, automated infrastructure that empowers development teams and ensures our cloud environment is cost-optimized, secure, and highly available.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect and Automate:\u0026lt;/strong\u0026gt; Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Reliability and Performance Engineering:\u0026lt;/strong\u0026gt;Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;CI/CD Excellence:\u0026lt;/strong\u0026gt; Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Observable by Default:\u0026lt;/strong\u0026gt; Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agentic ToolingI:\u0026lt;/strong\u0026gt; Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Incident Response:\u0026lt;/strong\u0026gt; Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages.Facilitate blameless post-mortems to identify root causes and implement permanent preventive engineering solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner Cross-Functionally:\u0026lt;/strong\u0026gt; Collaborate with Security, Engineering, and Support teams to deliver real business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Software Engineering Expertise:\u0026lt;/strong\u0026gt; 5+ years of production-level experience with strong proficiency in \u0026lt;strong\u0026gt;Python\u0026lt;/strong\u0026gt; (non-negotiable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure as Code (IaC):\u0026lt;/strong\u0026gt; Expert-level proficiency in \u0026lt;strong\u0026gt;Terraform\u0026lt;/strong\u0026gt; (modules, state management) or Pulumi.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Containers:\u0026lt;/strong\u0026gt; Hands-on experience with AWS, Azure, or GCP, along with Kubernetes, Docker, and containerization concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Observability Mindset:\u0026lt;/strong\u0026gt; Deep understanding of observability pillars (logging, metrics, tracing) and experience with tools such as \u0026lt;strong\u0026gt;Datadog\u0026lt;/strong\u0026gt;, Prometheus, or ELK.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Distributed Systems:\u0026lt;/strong\u0026gt; Proficiency in running systems using concepts like \u0026lt;strong\u0026gt;Kafka\u0026lt;/strong\u0026gt; or messaging queues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;CI/CD Proficiency:\u0026lt;/strong\u0026gt; Advanced knowledge of GitHub Actions and GitHub Runners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Independent Execution:\u0026lt;/strong\u0026gt; Ability to take ownership of ambiguous projects, follow a vision set by tech leads, and execute independently with minimal guidance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095717002,"name":"Infrastructure","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056203002,"name":"Costa Rica","location":"Costa Rica","child_ids":[4057115002,4057122002],"parent_id":4104404002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8574912002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6425024002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8574912002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"CSQ427R198","title":"Sr. Manager, AI Forward Deployed Engineering (AI-FDE) – EMEA","company_name":"Databricks","first_published":"2026-06-04T08:06:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;REQ ID: CSQ427R198\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location: Amsterdam, Netherlands - Remote\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first of its kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. This role can be remote in Europe, but the preference is for candidates to be near a major office location such as London, Amsterdam, Paris, or Munich. Candidates should expect to travel at least once a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape cross-functional collaboration by influencing Product, R\u0026amp;amp;D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own OKRs for AI-services led accounts, revenue, utilization, and public references\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks as a thought leader in AI/ML\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;“Company-first” mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in a customer-facing consulting or professional services leadership role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8555871002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6417502002,"location":{"name":"Mumbai, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8555871002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ327R192","title":"Sr. Manager -  BFSI, Field Engineering","company_name":"Databricks","first_published":"2026-06-08T05:33:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R192\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Manager, Field Engineering (Data \u0026amp;amp; AI), you will lead a team of Solutions Architects focusing on large \u0026amp;amp; strategic customers in India. You will help lead our team in India expansion, you will build and lead a technical pre-sales team. You will guide and get involved to enhance your team\u0026#39;s effectiveness; be an expert at positioning and articulating business-value-focused solutions to our customers and prospects; whilst coaching new sales and pre-sales team members to work together, support various stages of the sales cycles; and build relationships with key stakeholders in large corporations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage hiring, building the Pre-Sales team consisting of Solutions Architects in the Data \u0026amp;amp; AI domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rapidly scale the designated Field Engineering segment organisation without sacrificing calibre.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team. To embody and promote Databricks\u0026#39; customer-obsessed, teamwork and diverse culture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increasing Return on Investment of SA involvement in sales cycles by 2-3x over 18 months.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution and value-based selling field-engineering organisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach and mentor the Solutions Architect team to understand our customers’ business needs and identify revenue potential in their accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interface with leadership \u0026amp;amp; C-suite stakeholders at strategic customers in the assigned region to position the strength of Databricks, the comprehensive solutions strategy, and build trust and credibility in the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Databricks\u0026#39; brand in India in partnership with the Marketing and Sales team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring the experience, priorities, and takeaways of the field engineering team to the planning and strategy roadmap of the organisation.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in a pre-sales / consulting / customer facing managerial role: developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with strategic Banking / Financial Services / Digital Enterprise accounts generating +$1M ARR\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience in Big Data Architecture incorporating components of Data Engineering / Data Warehouse / Machine Learning / Data Science\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in scaling and mentoring field and technical teams managing both in-person and remote working models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in Apache Spark™ / Databricks ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056342002,"name":"Mumbai, India","location":"Mumbai, India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8428880002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366830002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8428880002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ327R7","title":"Sr. Manager, Capability Engineering \u0026 AI Adoption — APJ","company_name":"Databricks","first_published":"2026-02-25T08:18:16-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Databricks is experiencing tremendous growth as enterprise organizations transition from evaluating AI to rapidly deploying production-grade AI systems. This role exists to redefine how we enable our largest customers to move faster, activate their data workforces, and convert platform investments into measurable business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Senior Manager of Capability Engineering \u0026amp;amp; AI Adoption for APJ, you will lead a regional team of deeply Customer Enablement Architects who act as the ultimate trusted advisors and builder-enablement partners for Databricks’ most complex customers. You will operate at the intersection of technical depth and business strategy—translating advanced product roadmaps into just-in-time, personalized capability programs that meet customers exactly where they are in their modernization and AI adoption journeys. This position will be reporting to Director, Capability Engineering APJ.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;People Leadership:\u0026lt;/strong\u0026gt; Lead, coach, and develop an elite regional team of Customer Enablement Architects across APJ, setting a high standard for technical depth, customer impact, and creative problem-solving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Capability Engineering at Scale:\u0026lt;/strong\u0026gt; Redesign enterprise enablement workflows, moving away from legacy episodic models to continuous, contextual, and hyper-personalized capability building aligned with customers\u0026#39; modernization curves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Adoption \u0026amp;amp; MAU Activation:\u0026lt;/strong\u0026gt; Partner directly with account teams and field leadership to diagnose capability blockers and drive measurable increases in Monthly Active Users (MAU) across strategic enterprise accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on Builder Innovation:\u0026lt;/strong\u0026gt; Cultivate a builder culture within the team to design and deploy custom enablement applications, tools, and prototypes (e.g., via Databricks Apps, Genie, or agentic frameworks) when standard curricula fall short.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive \u0026amp;amp; Stakeholder Alignment:\u0026lt;/strong\u0026gt; Conduct deep discovery sessions with enterprise technical leaders and C-suite executives, aligning strategic capability roadmaps with the customer\u0026#39;s high-level AI transformation goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Global Operational Integrity:\u0026lt;/strong\u0026gt; Serve as the regional voice into global curriculum and certification teams to prioritize APJ market needs and skill gaps, while maintaining strict operational rigor with training logistics teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Regional Presence:\u0026lt;/strong\u0026gt; Undertake significant regional travel across APJ to engage directly with strategic enterprise accounts on-site, lead high-stakes executive alignment sessions, and provide hands-on leadership to a geographically dispersed team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Depth:\u0026lt;/strong\u0026gt; Deep foundational understanding of lakehouse architecture, data engineering/ETL pipelines, data governance, and generative AI/agentic workflows to earn immediate respect from customer data teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on Builder Mindset:\u0026lt;/strong\u0026gt; A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Solutioning:\u0026lt;/strong\u0026gt; Prior experience in a solutions architect, customer success engineering, technical pre-sales, or advanced delivery role, with a proven ability to confidently navigate ambiguity and discover core user friction points.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enablement Reinvention:\u0026lt;/strong\u0026gt; Passion for moving beyond legacy classroom-style or completion-centric learning models into just-in-time, contextual capability building embedded directly in user workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial \u0026amp;amp; Business Insight:\u0026lt;/strong\u0026gt; Ability to connect technical skill outcomes to core P\u0026amp;amp;L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;APJ Fluency \u0026amp;amp; Mobility (Required)\u0026lt;/strong\u0026gt;: Lived experience operating across APJ markets (ANZ, SEA, Japan, India, Korea). Ability and willingness to travel extensively (frequent regional travel expected)\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;to meet customers and support team members across different geographies. You possess the resilience and cultural adaptability required to remain highly effective while managing a demanding regional travel schedule.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership and Credibility:\u0026lt;/strong\u0026gt; Prior experience leading and managing technical or customer-facing engineering teams, with a proven ability to mentor talent, hold a high bar, and build a cohesive team identity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4033877002,"name":"New South Wales, Australia","location":"New South Wales, Australia","child_ids":[4002843002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437449002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366830002,"location":{"name":"Melbourne, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8437449002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ327R7","title":"Sr. Manager, Capability Engineering \u0026 AI Adoption — APJ","company_name":"Databricks","first_published":"2026-02-25T08:19:00-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Databricks is experiencing tremendous growth as enterprise organizations transition from evaluating AI to rapidly deploying production-grade AI systems. This role exists to redefine how we enable our largest customers to move faster, activate their data workforces, and convert platform investments into measurable business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Senior Manager of Capability Engineering \u0026amp;amp; AI Adoption for APJ, you will lead a regional team of deeply Customer Enablement Architects who act as the ultimate trusted advisors and builder-enablement partners for Databricks’ most complex customers. You will operate at the intersection of technical depth and business strategy—translating advanced product roadmaps into just-in-time, personalized capability programs that meet customers exactly where they are in their modernization and AI adoption journeys. This position will be reporting to Director, Capability Engineering APJ.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;People Leadership:\u0026lt;/strong\u0026gt; Lead, coach, and develop an elite regional team of Customer Enablement Architects across APJ, setting a high standard for technical depth, customer impact, and creative problem-solving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Capability Engineering at Scale:\u0026lt;/strong\u0026gt; Redesign enterprise enablement workflows, moving away from legacy episodic models to continuous, contextual, and hyper-personalized capability building aligned with customers\u0026#39; modernization curves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Adoption \u0026amp;amp; MAU Activation:\u0026lt;/strong\u0026gt; Partner directly with account teams and field leadership to diagnose capability blockers and drive measurable increases in Monthly Active Users (MAU) across strategic enterprise accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on Builder Innovation:\u0026lt;/strong\u0026gt; Cultivate a builder culture within the team to design and deploy custom enablement applications, tools, and prototypes (e.g., via Databricks Apps, Genie, or agentic frameworks) when standard curricula fall short.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive \u0026amp;amp; Stakeholder Alignment:\u0026lt;/strong\u0026gt; Conduct deep discovery sessions with enterprise technical leaders and C-suite executives, aligning strategic capability roadmaps with the customer\u0026#39;s high-level AI transformation goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Global Operational Integrity:\u0026lt;/strong\u0026gt; Serve as the regional voice into global curriculum and certification teams to prioritize APJ market needs and skill gaps, while maintaining strict operational rigor with training logistics teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Regional Presence:\u0026lt;/strong\u0026gt; Undertake significant regional travel across APJ to engage directly with strategic enterprise accounts on-site, lead high-stakes executive alignment sessions, and provide hands-on leadership to a geographically dispersed team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Depth:\u0026lt;/strong\u0026gt; Deep foundational understanding of lakehouse architecture, data engineering/ETL pipelines, data governance, and generative AI/agentic workflows to earn immediate respect from customer data teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on Builder Mindset:\u0026lt;/strong\u0026gt; A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Solutioning:\u0026lt;/strong\u0026gt; Prior experience in a solutions architect, customer success engineering, technical pre-sales, or advanced delivery role, with a proven ability to confidently navigate ambiguity and discover core user friction points.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enablement Reinvention:\u0026lt;/strong\u0026gt; Passion for moving beyond legacy classroom-style or completion-centric learning models into just-in-time, contextual capability building embedded directly in user workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial \u0026amp;amp; Business Insight:\u0026lt;/strong\u0026gt; Ability to connect technical skill outcomes to core P\u0026amp;amp;L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;APJ Fluency \u0026amp;amp; Mobility (Required)\u0026lt;/strong\u0026gt;: Lived experience operating across APJ markets (ANZ, SEA, Japan, India, Korea). Ability and willingness to travel extensively (frequent regional travel expected)\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;to meet customers and support team members across different geographies. You possess the resilience and cultural adaptability required to remain highly effective while managing a demanding regional travel schedule.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership and Credibility:\u0026lt;/strong\u0026gt; Prior experience leading and managing technical or customer-facing engineering teams, with a proven ability to mentor talent, hold a high bar, and build a cohesive team identity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4033877002,"name":"New South Wales, Australia","location":"New South Wales, Australia","child_ids":[4002843002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8607647002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366830002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8607647002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ327R7","title":"Sr. Manager, Capability Engineering \u0026 AI Adoption — APJ","company_name":"Databricks","first_published":"2026-06-25T06:32:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Databricks is experiencing tremendous growth as enterprise organizations transition from evaluating AI to rapidly deploying production-grade AI systems. This role exists to redefine how we enable our largest customers to move faster, activate their data workforces, and convert platform investments into measurable business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Senior Manager of Capability Engineering \u0026amp;amp; AI Adoption for APJ, you will lead a regional team of deeply Customer Enablement Architects who act as the ultimate trusted advisors and builder-enablement partners for Databricks’ most complex customers. You will operate at the intersection of technical depth and business strategy—translating advanced product roadmaps into just-in-time, personalized capability programs that meet customers exactly where they are in their modernization and AI adoption journeys. This position will be reporting to Director, Capability Engineering APJ.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;People Leadership:\u0026lt;/strong\u0026gt; Lead, coach, and develop an elite regional team of Customer Enablement Architects across APJ, setting a high standard for technical depth, customer impact, and creative problem-solving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Capability Engineering at Scale:\u0026lt;/strong\u0026gt; Redesign enterprise enablement workflows, moving away from legacy episodic models to continuous, contextual, and hyper-personalized capability building aligned with customers\u0026#39; modernization curves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI Adoption \u0026amp;amp; MAU Activation:\u0026lt;/strong\u0026gt; Partner directly with account teams and field leadership to diagnose capability blockers and drive measurable increases in Monthly Active Users (MAU) across strategic enterprise accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on Builder Innovation:\u0026lt;/strong\u0026gt; Cultivate a builder culture within the team to design and deploy custom enablement applications, tools, and prototypes (e.g., via Databricks Apps, Genie, or agentic frameworks) when standard curricula fall short.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive \u0026amp;amp; Stakeholder Alignment:\u0026lt;/strong\u0026gt; Conduct deep discovery sessions with enterprise technical leaders and C-suite executives, aligning strategic capability roadmaps with the customer\u0026#39;s high-level AI transformation goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Global Operational Integrity:\u0026lt;/strong\u0026gt; Serve as the regional voice into global curriculum and certification teams to prioritize APJ market needs and skill gaps, while maintaining strict operational rigor with training logistics teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Regional Presence:\u0026lt;/strong\u0026gt; Undertake significant regional travel across APJ to engage directly with strategic enterprise accounts on-site, lead high-stakes executive alignment sessions, and provide hands-on leadership to a geographically dispersed team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Depth:\u0026lt;/strong\u0026gt; Deep foundational understanding of lakehouse architecture, data engineering/ETL pipelines, data governance, and generative AI/agentic workflows to earn immediate respect from customer data teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on Builder Mindset:\u0026lt;/strong\u0026gt; A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Solutioning:\u0026lt;/strong\u0026gt; Prior experience in a solutions architect, customer success engineering, technical pre-sales, or advanced delivery role, with a proven ability to confidently navigate ambiguity and discover core user friction points.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enablement Reinvention:\u0026lt;/strong\u0026gt; Passion for moving beyond legacy classroom-style or completion-centric learning models into just-in-time, contextual capability building embedded directly in user workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial \u0026amp;amp; Business Insight:\u0026lt;/strong\u0026gt; Ability to connect technical skill outcomes to core P\u0026amp;amp;L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;APJ Fluency \u0026amp;amp; Mobility (Required)\u0026lt;/strong\u0026gt;: Lived experience operating across APJ markets (ANZ, SEA, Japan, India, Korea). Ability and willingness to travel extensively (frequent regional travel expected)\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;to meet customers and support team members across different geographies. You possess the resilience and cultural adaptability required to remain highly effective while managing a demanding regional travel schedule.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership and Credibility:\u0026lt;/strong\u0026gt; Prior experience leading and managing technical or customer-facing engineering teams, with a proven ability to mentor talent, hold a high bar, and build a cohesive team identity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4033877002,"name":"New South Wales, Australia","location":"New South Wales, Australia","child_ids":[4002843002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8627551002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6445618002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["People and HR"],"value_type":"multi_select"}],"id":8627551002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"GAQ327R301","title":"Sr. Manager, Compensation Analytics \u0026 Intelligence ","company_name":"Databricks","first_published":"2026-07-15T01:58:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;small\u0026gt;(GAQ327R301)\u0026lt;/small\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics \u0026amp;amp; Intelligence function.\u0026amp;nbsp; This role will provide centralized compensation analytics and intelligence to drive better, faster, and more consistent decision-making through the effective use of data. This is a key role within the Compensation function at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a builder’s role for someone who lives at the intersection of compensation, data, and strategy. You will transform enterprise-wide compensation data into insights and operational tooling, serve as the function’s go-to lead for AI and data strategy, and act as a trusted thought partner to senior leaders on the company’s most complex pay challenges — all while maintaining the highest standards for data governance, privacy, and security. In a talent market this dynamic, you will be the person who sees where the market is moving before it moves.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don’t believe compensation is just a number; it’s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member who brings rigor, intelligence, and world-class craft to that mission.\u0026lt;/p\u0026gt;\n\u0026lt;h3 data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Scope of the role\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, high-impact role that will effectively cover the below areas and the anticipated time spent on each:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Company-wide program analytics (35%) — Own enterprise-wide compensation analytics: the market benchmarking process, total comp budget forecasting, and the analytical backbone for major program decisions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI \u0026amp;amp; data strategy lead (25%) — Serve as the Compensation function’s lead on AI and data strategy.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partnership with Finance (20%) — Partner with Finance teams on cash compensation budgets and spend.\u0026amp;nbsp; Collaborate on equity budget and spend modeling in close partnership with the Exec \u0026amp;amp; Equity comp lead.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive intelligence \u0026amp;amp; QBR reporting (10%) — Track market trends and spikes/cool-downs across cash, equity, and total rewards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategy \u0026amp;amp; program design partnership (10%) — Provide thought partnership on major comp program design and company-wide strategic problems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for someone who has the following strengths\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Analytics\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data fluency — This is the heart of the role. Exceptional analytical skills with a proven ability to transform raw, complex data into\u0026amp;nbsp; insights, tooling, and recommendations. You see the story in the numbers and build the systems that surface it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know your tools — Advanced capabilities required in gSheets and Excel. Strong working fluency in SQL and experience with BI / analytics platforms (e.g., Tableau, AI/BI) strongly preferred; Python and hands-on experience applying AI to comp analytics are a meaningful plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead on AI — Genuine enthusiasm and sound judgment for how AI can responsibly transform compensation work, paired with a sharp instinct for data privacy, governance, and the downstream implications of how sensitive data is handled.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Comp expertise\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know your craft — Solid foundation in job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be rational — Ability to balance deep comp knowledge with business solutioning from a first-principles viewpoint.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operational \u0026amp;amp; partnership excellence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build innovatively \u0026amp;amp; scale effectively — Create frameworks and solutions that not only solve today’s issues but anticipate future needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational capability — Connect the dots between systems, players, and programs to seamlessly deliver compensation analytics and tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Savvy collaborator \u0026amp;amp; trusted advisor — Comfortable leading conversations with Finance and senior leadership, navigating at times competing priorities and opinions, and supporting sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$299,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$196,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$269,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$185,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$254,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$174,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$239,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001271002,"name":"People","child_ids":[4050564002,4001020002,4050563002,4050562002,4050565002],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7914730002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6127156002,"location":{"name":"Plano, Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7914730002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1388","title":"Sr. Manager – Data \u0026 AI Support Engineering","company_name":"Databricks","first_published":"2026-06-04T17:11:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1388\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Manager of the Data \u0026amp;amp; AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lead and scale a world-class AI-first Data \u0026amp;amp; AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct regular one-on-ones, annual review, and career development discussions with direct reports.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data \u0026amp;amp; AI workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in major incident management, escalation handling, on-call rotations, and critical production support activities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;What we are looking for:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience designing, building, troubleshooting, and supporting large-scale Data \u0026amp;amp; AI applications using Python, Java, Scala, Spark, or related distributed technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading production-scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong troubleshooting and performance tuning experience for Spark and JVM-based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with AWS, Azure, or GCP cloud platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing globally distributed technical teams and handling high-severity customer escalations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical, debugging, problem-solving, and distributed systems troubleshooting skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal communication skills with strong customer-facing leadership abilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong organizational, multitasking, stakeholder management, and operational leadership capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4033550002,"name":"Texas","location":"Texas","child_ids":[4056385002,4000645002,4000646002,4000647002,4056384002],"parent_id":4056358002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568033002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422239002,"location":{"name":"Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; New York City, New York; San Francisco, California; United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568033002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R250","title":"Sr. Manager/Director, Field Engineering - Telco","company_name":"Databricks","first_published":"2026-06-04T09:55:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;small\u0026gt;FEQ327R250\u0026amp;nbsp;\u0026lt;/small\u0026gt;United States\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;Mission\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.\u0026amp;nbsp; Major Enterprises in the Telco industry are leveraging the Databricks Data \u0026amp;amp; AI Platform to accelerate their data-driven strategies.\u0026amp;nbsp; Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Telco ecosystem and how a modern data architecture is critical to advancing their Data \u0026amp;amp; AI initiatives.\u0026amp;nbsp; Additionally, this SA leader will inspire the FLMs and the entire team of Solution Architects by translating the team\u0026#39;s vision into a tangible, effective strategy to drive our customers’ data and AI experiences forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sr. Manager/Director of Solutions Architecture will lead a team of SA Leaders across two BU+3s: Strat Telco and Telco 2. Reporting to the Tech GM of CMEG, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You\u0026#39;ll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks\u0026#39; market growth.\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;The Impact You Will Have\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will lead a team of 2 FLMs and a Principal SA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Your team will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make your Telco customers successful with Databricks and deliver outsized value to their businesses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will maintain a robust hiring pipeline at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales leadership to hit sales and consumption targets and ensure customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of SA Leaders and SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Telco industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continue to evolve the Telco Vertical within Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;What We Look For\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of professional experience in the field, architecting and delivering data-driven solutions for major accounts within the Telco industry.\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with network analytics and optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of success in helping customers with churn prevention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Very strong understanding of the telco ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in creating network effects across the telco ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven thought leader on key industry imperatives for Telco.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre and post-sales professionals and leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A deep technical understanding of the impact that Data \u0026amp;amp; AI can drive within the Telco industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in building out repeatable industry assets and scaling those across a BU+2 and globally to other teams within Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives who guide strategic data infrastructure decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring leader and IC candidates, ramping them up to be successful, and promoting them into larger roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with teams across Sales, Product Management, Engineering, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8540678002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4890774002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8540678002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-138","title":"Sr. Manager, Engineering","company_name":"Databricks","first_published":"2026-05-08T08:15:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-138\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools to allow Databricks engineers to operate their services across different clouds and environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build services, products and infrastructure at the intersection of machine learning and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire great engineers to build an outstanding team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support engineers in their career development by providing clear feedback and develop engineering leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with engineering and product leadership to build a long-term roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate execution and collaborate across teams to unblock cross-cutting projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Great at hiring and developing talent, especially leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at creating efficient processes that increase velocity and quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managed teams that build and operate high-volume distributed systems in a SaaS environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience scaling engineering teams from 5 to 30+\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Team player who will work with other departments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS or higher in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8532695002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5720840002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8532695002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1107","title":"Sr. Manager, Engineering ","company_name":"Databricks","first_published":"2026-04-30T21:21:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;P-1107\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data, and our Trust \u0026amp;amp; Safety organization has the mission to build the most trusted Data and AI platform in the world. We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety and define the strategy for how our core platform services are built and scaled. You will lead teams owning critical infrastructure and services that must be highly reliable, secure, and fast under extreme load.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The impact you will have:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define and drive the strategy for foundational systems operating at cloud scale.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Provide technical oversight on architecture and design for components that can operate at massive scale, with high requirements for reliability, security, and performance.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Partner with engineering and product leaders across Databricks to embed secure, scalable solutions into every aspect of our product.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ensure alignment with industry best practices, helping customers meet their own governance, privacy, and security needs.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience in software engineering, with significant engineering leadership experience in a fast-paced, dynamic environment.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience building large-scale distributed systems with high availability and complex requirements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Proven success driving cross-functional initiatives and influencing leaders without direct authority.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong communication and leadership skills, with the ability to inspire both teams and stakeholders.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;BS, MS, or PhD in Computer Science or a related technical field.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567602002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422048002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8567602002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"RDQ427R368","title":"Sr. Manager, Engineering  Configuration Platform Team","company_name":"Databricks","first_published":"2026-05-28T13:04:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ427R368\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Configuration Platform team owns the systems that move configuration and feature flags across every Databricks service. The platform decouples code deployment from feature enablement for thousands of internal engineers, transports configuration across AWS, Azure, and GCP to every Databricks compute surface, and serves 25,000+ active flags and over 300 million evaluations per second at ~10μs p95 latency. It is the primary lever Databricks uses to safely roll out changes, run experiments, and mitigate incidents in minutes instead of hours.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Senior Engineering Manager to lead a team within the Configuration Platform organization. This is a hands-on leadership role that combines deep distributed systems judgment with strong people leadership, driving multi-quarter strategy on one of Databricks\u0026#39; most critical stability primitives while continuing to raise the bar for how engineers across the company ship change safely.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will close the loop between \u0026quot;bad change\u0026quot; and automated mitigation, driving company-wide MTTR down through investments in health-mediated releases, auto-rollback, and zero-downtime configuration delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will evolve the Configuration Platform user experience into a frictionless, opinionated set of surfaces (UI, CLI, agentic) where engineers author, review, and roll out changes safely without thinking about the internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will grow the team into a Staff and Principal attracting org whose technical decisions shape how the company balances speed and reliability\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years managing backend, infrastructure, or platform teams of roughly 7 to 15 engineers, ideally in service frameworks, feature flags, configuration systems, release safety, production reliability, or other internal platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong distributed systems and infrastructure background: Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on EM disposition: stays close to the code, leads design reviews, and contributes technically alongside the team. Comfortable leveraging AI-assisted coding tools to amplify their own and the team\u0026#39;s output\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record managing, growing, and retaining high performing teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable partnering with senior+ engineers on design reviews, roadmap, and cross-team execution while letting strong ICs own technical details\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operational experience owning a high-availability platform with on-call, incident response, and measurable reliability improvements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated product thinking for developers: shaping opinionated UX, rollout policies, and developer workflows that make the safe path the easy path, with strong taste on the safety versus velocity tradeoff\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science (Masters or higher level of education preferred)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;COVID-19 Vaccination Requirement\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$222,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4049331002,"name":"Bellevue, Washington","location":"Bellevue, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7959180002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6146886002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7959180002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ426R193","title":"Sr. Manager, Engineering - Search","company_name":"Databricks","first_published":"2025-04-15T16:41:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;a class=\u0026quot;in-cell-link\u0026quot; href=\u0026quot;#gid=1160036551\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;RDQ426R193\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engineering Manager for Search, you’ll play a critical role in building and scaling our next-generation Search product — spanning Vector Search, Keyword Search, and Search Quality. You’ll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you’ll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead a team of talented software engineers to design, build, and operate the next-generation cloud-native Search services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation across Vector Search, Keyword Search, and Hybrid Search capabilities to improve relevance, latency, and cost efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a strong partnership with product and research teams to define the roadmap for Search Quality, including ranking models and evaluation frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and operate large-scale, highly-available services in the cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow and mentor engineers and emerging leaders through coaching, feedback, and development opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape and execute the long-term product and engineering strategy for Search.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally with teams across Databricks to ensure the Search platform serves as a core enabler for AI and data applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of technical excellence, accountability, and empathy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in search, database systems, or AI/ML infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of building and scaling highly-available cloud services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership experience — building, growing, and managing high-performing engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining and meeting SLOs for distributed, production-grade systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of search and indexing systems (e.g., Elasticsearch, Lucene, or vector databases).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with database internals or large-scale data processing systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science (Masters or PhD Preferred).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$222,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438767002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370924002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8438767002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ427R257","title":"Sr. Manager, Field Engineering","company_name":"Databricks","first_published":"2026-03-24T09:57:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ427R257\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the Asean region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, mentor, and support a high-performing, inclusive pre-sales team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices that improve team efficiency, collaboration, and business impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we’re looking for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of coaching and developing diverse, high-performing teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8572876002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6424169002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8572876002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R180","title":"Sr. Manager, Field Engineering","company_name":"Databricks","first_published":"2026-06-01T09:39:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ427R180\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build, operate, and scale for years to come. This creates a significant opportunity to help customers turn data and AI investments into measurable business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role combines people leadership, business ownership, and executive engagement. You will operate as a player-coach in key deals while building a high-performing, scalable field-engineering organisation for a consumption-based business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You report to the Director, Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build, lead, and scale the pre-sales (Solutions Architect) team for your assigned customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage across your account portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a player-coach by balancing hands-on involvement in key customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with senior and executive stakeholders at customers to build trusted relationships and long-term partnerships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre-/post-sales handshake tied to consumption outcomes (onboarding readiness, adoption milestones, expansion path).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Field Engineering as part of the regional team, contributing to Databricks\u0026#39; brand, market positioning, and growth in Germany.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience building and managing pre-sales or technical field teams in a high-growth environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience establishing repeatable processes that improve efficiency without limiting innovation or ownership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for the data and AI market and the ability to articulate a clear, executive-level POV on the value of Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to influence and communicate confidently with senior stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent German (highly preferred) and fluent English (required).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8496009002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6393617002,"location":{"name":"Colorado; Remote - California; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8496009002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ227R292","title":"Sr. Manager, Field Engineering - Digital Native Business","company_name":"Databricks","first_published":"2026-04-09T16:57:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the fastest-growing tech companies.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers\u0026#39; workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers.\u0026amp;nbsp; You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will report to the Director of Solutions Architecture for the Digital Native Business Named Account Unit.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adapt the SA team\u0026#39;s skills and engagement model to match the needs of Digital native customers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customer sites for executive sessions, technical workshops, and building relationships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current with emerging Data and AI trends in the digital native tech sector\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A history of building a territory, growing strategic accounts, and exceeding targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspiring a team vision about the unique nature of the digital natives business\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A history of execution by managing workloads and consumption with sales, product, and engineering counterparts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience owning executive alignment in accounts that guide strategic decisions\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$264,175 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8612968002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439947002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8612968002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R499","title":"Sr. Manager, Field Engineering - High Tech and MFG","company_name":"Databricks","first_published":"2026-07-02T02:01:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req ID - FEQ327R499\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: San Francisco Bay Area, CA\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Western United States.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.\u0026amp;nbsp; Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale.\u0026amp;nbsp; Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You\u0026#39;ll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make your customers extremely successful with Databricks and provide outsized value to their businesses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will maintain a robust hiring pipeline at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales leadership to hit sales and consumption targets while ensuring customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A deep technical understanding of the impact that Data + AI can drive within various industry segments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical competence to earn the trust of Engineering talent and leadership at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives who guide strategic data infrastructure decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with other teams such as Product Management, Engineering, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$264,175 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568043002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422244002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568043002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R255","title":"Sr. Manager, Field Engineering - Lakebase","company_name":"Databricks","first_published":"2026-07-05T22:39:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R255\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Sr. Manager, Field Engineering – Lakebase, to join our world-class hyper-growth organization. In this role, you will lead a specialized team of pre-sales Solutions Architects focused on our high priority product-line, Lakebase.\u0026amp;nbsp; The team will engage with complex, strategic accounts, helping drive the growth and expansion of our Lakebase product offering in a territory that spans across multiple verticalized business units..\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your experience partnering with sales organizations will help grow consumption, while coaching new sales and pre-sales team members to work together and raise the bar to best-in-class execution. Your team will engage, plan and strategically align with direct account teams in the verticalized business units, jointly engaging clients as you help ensure Lakebase is adopted and provides tremendous value to our customers. You will guide your team and be involved in initiatives to enhance its effectiveness. You must be an expert at communicating complex, business-value-focused solutions, while remaining deeply technical as you position, explain, and are seen as a credible technical leader in the transactional database (OLTP) domain; support a complex consumption motion; and build relationships with key stakeholders in large enterprises. This role will report to a Global Lakebase leader in Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and manage a team of technical pre-sales Solutions Architects focused on Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a rapid-growth team that embodies and promotes Databricks’ customer-obsessed, team-first, and diverse values.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support our growing Lakebase business, focusing on customer value and enabling your SA team to drive technical adoption and consumption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increased return on investment of Solutions Architect involvement in sales cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create trust-based, long-term customer relationships and deeply understand transactional databases (OLTP), along with data platform, data warehousing (OLAP), AI, app development and cloud market landscapes and trends, reporting on the forces that shift the strategic direction of accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote a solution-, value-, and technical-based field engineering organization focused on modern data architectures, operational workloads, and AI-native applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of business needs and revenue potential for accounts in the assigned region.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Databricks’ Lakebase brand across the market in partnership with Marketing, Product, and Sales teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Product and Engineering teams to translate customer feedback, technical requirements, and competitive insights into field readiness and product evolution.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of first-line or second-line leadership experience, with teams of 7+ individuals (first-line) or 20+ individuals (second-line).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience in transactional (OLTP) database technologies, ideally including data warehousing, cloud infrastructure, data platforms, or AI solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to elevate executive engagement with a track record of driving large consumption and high-growth customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of transformational success and delivery of customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building strong ecosystems of strategic customer relationships and cross-functional partnerships (Sales, Engineering, Product, Marketing).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in complex strategic accounts generating $1M+ ARR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, cloud software models, operational data systems, and modern database architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at instituting processes for technical field members to improve efficiency and execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Up to 30% travel at times.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8431931002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6367985002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8431931002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ427R261","title":"Sr. Manager, Field Engineering - Public Sector (Intel, Navy, Air Force)","company_name":"Databricks","first_published":"2026-03-24T16:34:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ427R261\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You\u0026#39;ll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks\u0026#39; market growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will maintain a robust hiring pipeline at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives that guide strategic data infrastructure decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic mindset focused on driving customer outcomes in an accelerated fashion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical and business skills to earn the trust of Engineering talent and leadership at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$264,175 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056375002,"name":"Remote - Washington D.C.","location":"Remote - Washington D.C.","child_ids":[],"parent_id":4033536002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8535812002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6409022002,"location":{"name":"London, United Kingdom; Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8535812002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ327R157","title":"Sr. Manager, Field Engineering Qatar\u0026Africa","company_name":"Databricks","first_published":"2026-05-06T14:21:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;FEQ327R157\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar \u0026amp;amp; Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;You will guide and get involved to enhance your team\u0026#39;s effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire, mentor and grow the pre-sales team for the Qatar \u0026amp;amp; Africa markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support increased return on investment of SA involvement in sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure a solution and value-based selling within the field-engineering organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display an understanding of needs and revenue potential for accounts in the assigned region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with key customer executives to build and strengthen strategic partnerships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure close alignment with partners and internal services to secure implementation strategies within accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continue to build Databricks\u0026#39; brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing a team of successful Big Data, Cloud, or SaaS professionals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in consumption based business environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have experience mentoring and scaling technical teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success in instituting processes for technical field members to lead efficiency and product focus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to partner and collaborate with Sales and other cross-functional leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical or consulting background either in Data Engineering, Database technologies or Data Science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Note: Location for the role is either Paris or London (i.e. within commutable distance).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;#LI-hybrid\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8614656002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440558002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8614656002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R502","title":"Sr. Manager, Field Engineering (Specialist) - HCLS","company_name":"Databricks","first_published":"2026-06-30T21:51:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R502\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Mission\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Tech GM of Field Engineering, the Specialist Solutions Architect Manager for Healthcare \u0026amp;amp; Life Sciences (HLS) will lead a high-impact team of Specialist Solutions Architects (SSAs) and SSA Team Leads/Managers across the North East region. You will cultivate, guide, and scale a dynamic organization focused on enterprise software, big data, healthcare interoperability (e.g., FHIR/HL7), clinical/claims analytics, real-world evidence (RWE), and medical AI/ML applications. Leading this specialized pre-sales engine, you will partner closely with Sales leadership to drive consumption, maximize ARR, and help healthcare providers, payers, and pharmaceutical organizations achieve transformational business and patient outcomes. You will scale and operate a world-class tier of field engineers to accelerate Databricks\u0026#39; dominance within the HLS vertical.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Impact You Will Have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire, train, and develop a high-performing tier of both individual contributors (IC) and frontline managers/leads within the Specialist Solutions Architecture organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a robust, diverse hiring pipeline attuned to deep technical expertise, clinical data structures, and life sciences domain proficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed regional sales and consumption targets by ensuring your management and SA teams rigorously qualify accounts, identify high-value genomic, clinical, or operational use cases, execute secure proof-of-concepts, and serve as trusted advisors across the customer lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive deep adoption of the Databricks Data Intelligence Platform, ensuring compliance frameworks (HIPAA, HITRUST, GxP) are properly mapped to outsized business and regulatory value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish strong matrixed relationships across Product Management, Engineering, Industry Solutions, and Sales to remove blockers and accelerate go-to-market velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What We Look For:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of leadership experience directly managing technical pre-sales teams, with a proven track record of leading both high-level individual contributors (L6+) and frontline technical managers/pod leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of deep experience in the data and AI space with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive understanding of the Healthcare and Life Sciences vertical, including hands-on familiarity with industry data models (OMOP, FHIR), regulatory constraints (HIPAA, GxP), and standard enterprise data integration/transformation patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven capability as a trusted strategic advisor to HLS technical executives (CTOs, CIOs, Chief Data Officers) guiding large-scale cloud infrastructure and AI roadmap decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Elite command of technical qualification methodologies, architecture design validation, structured proof-of-concept (POC) management, and value-selling frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated history of organizational scaling—successfully hiring complex profiles, accelerating onboarding cycles, coaching leaders, and managing progression pathways.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong operational rigor around pipeline tracking, resource allocation, and building cross-functional alignment between Field Engineering, Sales, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,875 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8614979002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440708002,"location":{"name":"Los Angeles, California; Remote - California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8614979002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R504","title":"Sr. Manager, Field Engineering - Strat Media ","company_name":"Databricks","first_published":"2026-07-07T08:30:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req ID FEQ327R504\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;Title: Sr. Manager - Strat Media\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major media agencies, ad tech, and Data/Identity companies are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Agencies ecosystem and how a modern data architecture is critical to advancing their Data \u0026amp;amp; AI initiatives. Additionally, this SA leader will inspire their team of Solution Architects by translating their team\u0026#39;s vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;The Sr. Manager, Solutions Architecture, will help lead a team of SAs within Databricks’ Field Engineering team\u0026#39;s Agency segment. Reporting to the Director, Field Engineering, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You\u0026#39;ll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks\u0026#39; market growth.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;The Agencies vertical sits at the intersection of data, AI, and advertising. You\u0026#39;ll lead a team that works with some of the most data-intensive companies in the world, holding companies managing billions in media spend and influencing the broader buy and sell side ecosystem.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;The Impact You Will Have\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make your customers in the Agencies segment successful with Databricks and provide outsized value to their businesses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will maintain a robust hiring pipeline at all times.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your customers and team successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales leadership to hit sales and consumption targets and ensure customer success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Media Advertising industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;What We Look For\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of first-line management experience leading technical pre-sales or solutions architecture teams — including hiring, onboarding, coaching, performance management, and career development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of the advertising and media agency ecosystem — how holdcos are structured, how data flows between brands, agencies, publishers, and ad tech platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A deep technical understanding of the impact that Data \u0026amp;amp; AI can drive within the Media and Entertainment industry, with a specific focus on the Media Agency Ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trusted advisor to technical executives who guide strategic data infrastructure decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with teams across Sales, Product Management, Engineering, and Customer Success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$218,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$300,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604596002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436787002,"location":{"name":"West Coast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8604596002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R163","title":"Sr. Manager, Finance PMO \u0026 Operations (Procure-To-Pay)","company_name":"Databricks","first_published":"2026-07-09T21:40:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R163\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Overview:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Senior Manager, Finance Commercialization, PMO, and Operations. You will be responsible for driving organization, transformation, innovation and operational efficiency at scale, as well as managing key programs across global Finance teams within the Controllership organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will partner with teams across the Controllership, including Order to Revenue (Revenue Operations, Billing, Revenue Accounting, Revenue Assurance), Accounting, Payroll, Tax, Treasury, and Commissions, and collaborate with cross-functional teams such as IT, Engineering, Go-to-Market, FP\u0026amp;amp;A, Pricing, Sales Operations, and our Internal Audit team. You will own planning processes, project intake and prioritization and drive key trade-off decisions on behalf of the Controllership.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your passion should be planning, leading, and executing global, cross-functional, enterprise-wide projects that impact the Finance organization. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role, you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting, and metrics, optimizing processes, and driving technology improvements.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Project and Program Management:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Streamline and own planning, intake, and prioritization processes across the Controllership, ensuring alignment with the Company and Finance team’s goals and strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and manage multiple complex, cross-functional programs, including working with stakeholders from IT, Engineering, Sales, and other Finance teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership and expertise in planning, organizing, and executing high-impact projects that drive operational excellence and process standardization across the Finance team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Collaboration:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Drive cross-functional collaboration across teams and locations to ensure the seamless execution of global initiatives\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work with our Engineering and IT teams to ensure timelines are met and risks are addressed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Accounting Process Optimization \u0026amp;amp; Improvement:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure efficiency in our Accounting processes and close procedures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and implement automation opportunities across the Controllership to reduce manual work and streamline processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a Global Business Services strategy for global coverage and efficient growth\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication, Reporting \u0026amp;amp; Metrics:\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead executive communications and reporting, ensuring transparency and alignment on project progress, risks, and outcomes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run QBRs with leadership to ensure OKRs and metrics are on track to meet goals and established timelines\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Business, Finance, Accounting, or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience working in Accounting groups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience leading cross-functional projects and programs with demonstrated success in process optimization and automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in program management, executive communications, reporting, and metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in planning, OKRs, and QBRs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in implementing and managing SOX controls on both the business process and IT sides\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in process improvement and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with JIRA, project management tools, and reporting systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;SaaS industry experience is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CPA certification is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;SQL or Python experience is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level presentation skills, including the ability to develop impactful presentations using Google Slides\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$178,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$245,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$161,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$221,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8073294002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6195996002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8073294002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"FEQ425R219","title":"Sr. Manager, Partner Solutions Architect","company_name":"Databricks","first_published":"2025-10-28T11:28:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ425R219\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sr. Manager, Field Engineering (Specialist) will lead a team of Partner Solution Architects. As you help mature our consulting \u0026amp;amp; SI partner development function, you will provide technical guidance for practices at our consulting partners that span pre-sales teams and their data analytics delivery organizations. Your experience and influence, will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem. You will guide and enhance your team\u0026#39;s effectiveness; be an expert at communicating complex, outcome-based results that drive consumptions and help our joint customers achieve their desired outcome.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will grow a team of Partner Solutions Architects for a company in high-growth mode.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions.\u0026amp;nbsp; This will establish partners as trusted advisors by having strong capability and Databricks practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish relationships across the business to make your partners and our customers successful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a collaborative culture within a hyper-growth team to embody and ensure Databricks\u0026#39; company values\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Customer Success and DBU consumption through consulting partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Display a deep understanding of a consulting services business needs, revenue potential, escalation management and project-portfolio management as it relates to enterprise data transformation initiatives\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring and managing field or technical teams from scratch at hyper-growth speed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great at instituting processes for technical field members to promote efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree in STEM subject, or MSc desirable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical background either in Data Engineering / Database technologies or Data Science\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604583002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436781002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604583002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ127R57","title":"Sr. Manager, Payroll","company_name":"Databricks","first_published":"2026-06-29T19:53:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ127R57\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery for the United States and Canada. This is a hands-on leadership role — you will run the operations, lead the team, own the compliance, and be the subject matter expert the business turns to when it matters.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will sit within the Global Payroll function, reporting directly to the \u0026lt;strong\u0026gt;Senior Director, Head of Global Payroll\u0026lt;/strong\u0026gt;, and will be an active member of the \u0026lt;strong\u0026gt;Payroll Leadership Team\u0026lt;/strong\u0026gt; — contributing to global strategy, cross-regional alignment, and function-wide initiatives beyond your direct remit.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will manage a team of four to five payroll professionals and be accountable for accurate, timely, and compliant payroll for a fast-scaling workforce across multiple US states and Canadian provinces.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a coordinator role with a manager title. We need someone who has been in the engine room, knows what good looks like, and can build it here.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;Payroll Operations\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the full payroll cycle — semi-monthly and off-cycle runs — for all US and Canadian employees, ensuring accuracy, timeliness, and a clean audit trail on every run\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the payroll calendar, cut-off deadlines, and coordination with HR and Finance to ensure data integrity from hire to final pay\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary escalation point for payroll discrepancies, employee queries, and operational issues — resolving with speed and precision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive continuous improvement across payroll processes, reducing manual effort and increasing controls without sacrificing responsiveness\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Technology \u0026amp;amp; Systems\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work within \u0026lt;strong\u0026gt;Workday Payroll\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;Workday HCM\u0026lt;/strong\u0026gt; as the primary payroll platform — managing pay runs, earnings and deduction codes, and audit reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Utilise \u0026lt;strong\u0026gt;ADP Smart Compliance\u0026lt;/strong\u0026gt; for multi-state and provincial tax filing, remittance, and amendment management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with HRIS and IT on system upgrades, open enrolment changes, and configuration changes requiring payroll impact assessment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to reduce manual reconciliation and improve data accuracy across the payroll tech stack\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Tax Compliance — US \u0026amp;amp; Canada\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure full compliance with federal, state, and local payroll tax obligations across all US jurisdictions including multi-state nexus, SUI, SDI, and local levies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage Canadian payroll tax compliance across all provinces — CPP, EI, provincial income tax, and Quebec-specific requirements (QPP, QPIP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own year-end processes end to end — W-2, W-2c, T4, T4A, RL-1 — from reconciliation through employee distribution and agency filing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage tax registration, filing, amendment, and penalty response across all active jurisdictions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay ahead of legislative changes — federal and sub-national — and translate them into process and system updates before they become compliance gaps\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Equity \u0026amp;amp; Supplemental Compensation\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage payroll processing and tax withholding for \u0026lt;strong\u0026gt;RSU vesting events\u0026lt;/strong\u0026gt;, including coordination with Stock Administration on vest schedules, sell-to-cover mechanics, and supplemental withholding rates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure correct treatment of ESPP, NQSOs, ISOs, and other equity instruments from a payroll tax perspective\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Legal and Tax on equity income sourcing and IRS / CRA reporting obligations on equity-derived income\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reconcile equity payroll data to stock admin records each quarter with zero tolerance for mismatch\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Team Leadership\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead, develop, and performance-manage a team of four to five payroll professionals — setting clear expectations, managing workload, and building capability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a team culture where accuracy is non-negotiable, deadlines are owned not managed around, and problems surface early\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build redundancy and cross-training so the function is never single-threaded on any critical process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach the team on technical depth — tax law, equity mechanics, compliance — so they grow into the next generation of payroll leaders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Controls, Audit \u0026amp;amp; Governance\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and maintain SOX-compliant payroll controls, including segregation of duties, approval workflows, and exception reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead payroll\u0026#39;s response to internal and external audits — preparing documentation, managing timelines, and closing findings without repeat\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain payroll policy documentation and desktop procedures, updated with every legislative or system change\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce monthly payroll metrics and variance analysis for Finance and HR leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;8+ years\u0026lt;/strong\u0026gt; of hands-on US and Canada payroll experience, with at least 3 years in a leadership role managing a team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep working knowledge of \u0026lt;strong\u0026gt;US multi-state payroll tax\u0026lt;/strong\u0026gt; — nexus determination, reciprocity agreements, SUI/SDI, supplemental withholding rates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of \u0026lt;strong\u0026gt;Canadian payroll compliance\u0026lt;/strong\u0026gt; — CPP/QPP, EI/QPIP, provincial tax, T4/RL-1 year-end\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing \u0026lt;strong\u0026gt;RSU and equity payroll\u0026lt;/strong\u0026gt; — from vest event processing through W-2/T4 reconciliation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong command of payroll reconciliation, general ledger mapping, and accrual processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading teams of four or more people — you know how to delegate, develop, and hold people accountable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CPP (Certified Payroll Professional) or equivalent certification preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Nice to Have\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;Workday Payroll and Workday HCM\u0026lt;/strong\u0026gt; — working knowledge of the platform in a payroll operations context is a strong advantage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with \u0026lt;strong\u0026gt;ADP Smart Compliance\u0026lt;/strong\u0026gt; for multi-jurisdictional tax filing and agency management is a strong advantage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting a high-growth technology company through rapid headcount scaling across new US states and Canadian provinces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;Shareworks\u0026lt;/strong\u0026gt; for stock plan administration and equity payroll integration is an added advantage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with payroll and equity tax rules for mobile employee populations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to global payroll coordination and vendor management beyond North America\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$189,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$170,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$234,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$221,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$151,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$208,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8432305002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6368138002,"location":{"name":"McLean, Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8432305002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"RDQ427R268","title":"Sr. Manager - Production Engineering","company_name":"Databricks","first_published":"2026-02-23T13:46:29-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ427R268\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and driven by customer obsession, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Customers trust Databricks with their most sensitive data and workloads, and Security Infrastructure Operations (SIO) is the team that sustains and improves Databricks\u0026#39; cloud security posture across every cloud service provider we operate in. We are looking for a Senior Engineering Manager to lead this team and drive the strategy for how cloud identity, access, and environment changes are reviewed, executed, and automated at scale. You will own the operational backbone of Databricks\u0026#39; cloud security, spanning IAM policy enforcement, CSP account provisioning, compliance evidence collection, and security data pipelines. Your goal is to ensure that Databricks engineers can move fast without compromising security. This is a high-visibility, cross-functional leadership role that partners with Security, Security Engineering, IT and engineering teams across the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build, lead, and grow a high-performing team of engineers responsible for cloud IAM operations, CSP environment management, security data pipelines, and compliance operations across AWS, Azure, and GCP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and execute the strategy and roadmap for automating cloud access assignment, approval workflows, and IAM policy enforcement to reduce manual toil while strengthening security controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the end-to-end lifecycle of CSP account, subscription, and project provisioning, including secure onboarding of acquired companies\u0026#39; cloud environments into Databricks\u0026#39; organizations with minimal disruption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive compliance programs including Cloud User Access Reviews, audit evidence collection, and IAM policy alignment to meet SOC2, FedRAMP, and other regulatory requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the reliability and timeliness of security data pipelines that ingest CSP audit logging, enabling downstream detection and response capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Security, Security Engineering, and IT to interpret and operationalize security policies, ensuring consistent enforcement with high transparency and minimal friction for engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead complex, multi-quarter initiatives spanning multiple teams and external partners, demonstrating leverage by executing through technical leads and developing future leaders on the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead GovCloud escort operations, including staffing a 24x7 on-call rotation for SEV0 incidents, and continuously improving operational resilience.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in security engineering, cloud infrastructure, or production/site reliability engineering, with deep hands-on expertise in at least one major cloud provider (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of engineering management experience, including building teams, developing senior engineers and managers, and navigating complex people situations such as promotions and performance management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical understanding of cloud IAM (policies, principals, roles, federation), CSP organizational structures, and identity governance frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success leading operational teams that balance high-throughput request execution with automation and process improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with compliance and audit workflows (SOC2, FedRAMP, ISO, or similar), including evidence collection and access review programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of driving cross-functional initiatives that require influencing without direct authority across security, infrastructure, and engineering organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and stakeholder management skills, with the ability to translate security policy into practical operational processes that engineering teams can follow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, Information Security, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$298,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8341135002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6331203002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8341135002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1501","title":"Sr. Manager, Technical Solutions","company_name":"Databricks","first_published":"2026-03-05T07:39:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ426R137\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is looking for a Senior Technical Solutions Manager to grow, lead and manage the Technical solutions engineers and support teams in India. The Senior Technical Solutions Manager is responsible for building and managing a regional team of technical experts focused on resolving highly complex and long-running support tickets raised by Databricks customers while overseeing the Support operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and manage a team of Technical Solution Engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide coaching and mentorship to the engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and implement process improvements to meet or exceed regional performance KPIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish training plans and subject matter expertise within the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive support escalations\u0026amp;nbsp; and establish cross-functional collaboration to manage and resolve issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a player-coach and provide technical leadership to the regional support team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define quarterly goals and track them to completion to drive team growth and personal development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale the organization by developing processes and guidelines that promote operational efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate a true sense of ownership and coordinate action items with engineering and escalation teams to achieve timely resolution of customer issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform risk assessments and be a hands-on leader\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we are looking for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark\u0026lt;strong\u0026gt;™\u0026lt;/strong\u0026gt; in a technical capacity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent analytical and troubleshooting skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent customer facing, verbal and written communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A team-oriented attitude and a high degree of comfort working in a startup environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in systems troubleshooting, networking, and Linux fundamentals, JVM troubleshooting, debugging of Java applications is preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8458134002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6378638002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Professional Services"],"value_type":"multi_select"}],"id":8458134002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"CSQ327R54","title":"Sr. Partner Delivery Manager","company_name":"Databricks","first_published":"2026-03-16T03:43:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R54\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. You will shape the future of big data and the machine learning landscape for leading Fortune 500 organizations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Professional Services Delivery Partner Manager \u0026lt;/strong\u0026gt;supports the mission of the Professional Services team, which is to\u0026lt;strong\u0026gt; accelerate and de-risk our customers\u0026#39; business outcomes\u0026lt;/strong\u0026gt; through effective enablement and delivery of Databricks platform technology. This is an individual contributor role that will oversee the Databricks Delivery Partner Program which looks to use close partnerships with key system integrators to effectively co-deliver Databricks services engagements.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with the Professional Services team in order to use \u0026lt;strong\u0026gt;Databricks delivery partners to accelerate our customer project outcomes\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and develop Professional Services relationships with \u0026lt;strong\u0026gt;Global System Integrators (GSIs), Regional System Integrators (RSIs), regional Partner team \u0026lt;/strong\u0026gt;to support bi-directional pipeline review and bi-directional engagements (subcontracting, and advisory) for company priorities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a \u0026lt;strong\u0026gt;RFP process\u0026lt;/strong\u0026gt; to support Partner Selection for large complex multi year, multi phase \u0026lt;strong\u0026gt;migration\u0026lt;/strong\u0026gt; deals. Create templates, scorecards to supplement partner selection with a data driven approach.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Spearhead and lead efforts to incubate and ramp new partners with \u0026lt;strong\u0026gt;Gen AI\u0026lt;/strong\u0026gt; capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive MBRs and QBRs with \u0026lt;strong\u0026gt;priority partners\u0026lt;/strong\u0026gt;, and develop long term roadmaps for PS Partner delivery priorities. Develop scorecards and feedback loops to segment partners by focus areas, regions and company priorities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive\u0026lt;strong\u0026gt; delivery governance\u0026lt;/strong\u0026gt; to ensure partner quality and delivery on Services led and partner supported implementations. Support global programs to measure partner quality such as CSAT, Partner Survey and program governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead programs that align with our \u0026lt;strong\u0026gt;PS \u0026amp;amp; Partner strategy \u0026lt;/strong\u0026gt;for Assurance and advisory services. Work with our cross-functional channel teams to enable GSIs, RSIs, SIs on Assurance services, and support bi-weekly reviews and deal governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support \u0026lt;strong\u0026gt;Partner IP efforts\u0026lt;/strong\u0026gt; such as the creation of service delivery kits to better scale our ecosystem.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Liaison with Delivery Partner organizations to ensure personnel have the required level of training and certification in order to achieve Databricks projects following best practices. Champion and provide thought leadership for \u0026lt;strong\u0026gt;specialization \u0026lt;/strong\u0026gt;programs. You will implement and lead programs for achieving requirements and exceeding delivery quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain an \u0026lt;strong\u0026gt;effective onboarding process for partner resources\u0026lt;/strong\u0026gt; ensuring effective utilization and quality of services across Databricks customer deliveries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the \u0026lt;strong\u0026gt;Databricks resource management team \u0026lt;/strong\u0026gt;to oversee the pipeline planning process with each of the delivery partners, ensuring partner resource availability in a timely manner to support Databricks services opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Allocation and outsourcing of Projects to Services partners. This includes selecting the appropriate partner for the project and working with the partner closely to ensure project success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with our legal, people operations and other cross functional organization to \u0026lt;strong\u0026gt;support bi directional contractual negotiations\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for the Partner\u0026#39;s needs internally; managing any escalations and issues on projects being delivered by partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop, implement, and monitor Key Performance Indicators for each Services partner.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach, Mentor junior members of the team, and partner resource\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive industry experience including resource management and demand pipeline management and record of success in navigating and driving engagements with large IT organizations with a focus on managed or professional service delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience within a professional services organization as a partner Manager, and/or Consulting Manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing partner or third-party organization enablement including upskilling teams to provide delivery capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excel at working directly with Partners and customers to gather, prioritize, plan and execute solutions to customer business requirements as they relate to technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing commercial agreements with partners including statements of works to support services management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493152002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392443002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8493152002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"MKTQ227R35","title":"Sr. Partner Marketing Manager - Consulting \u0026 System Integrators","company_name":"Databricks","first_published":"2026-06-04T15:01:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ227R35\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Senior Partner Marketing Manager, C\u0026amp;amp;SI (Consulting \u0026amp;amp; Systems Integrators), will accelerate Databricks’ growth with the world’s largest consulting firms by driving demand for our Data and AI Platform joint solutions and building brand awareness. You will deepen preference for Databricks with both executive and practitioner audiences at strategic consulting firms, and turn that preference into joint marketing motions that grow shared pipeline and customer adoption. You must be a self-starter and have the ability to work in a fast-paced environment. You will work closely with Business Development, Partner Solution Architects, Industry and Product Marketing, and Regional Marketing to drive priority GTM themes into measurable partner business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Impact you’ll make\u0026amp;nbsp; (12–18 month outcomes)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and execute joint marketing plans with C\u0026amp;amp;SI partners. Work with partner teams to drive GTM priorities and assigned partner pipeline targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute co-marketing programs across webinars, events, digital campaigns, and partner-led activities to generate net-new demand and support active opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create and drive consumption of repeatable joint collateral with partners, including solution briefs, blogs, industry use cases, campaign assets, and customer proof points that support partner-led selling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publish at least 6 customer stories or joint announcements annually that showcase C\u0026amp;amp;SI-led Databricks success.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage a consistent C\u0026amp;amp;SI partner communications engine, delivering roughly 6 high-impact “to partner” touchpoints per month (e.g. newsletters, webinars, enablement events) that achieve agreed engagement and adoption targets.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale repeatable partner marketing motions in conjunction with our Partner Development Center, via standardized marketing materials such as solution briefs, campaign kits, industry use-case assets, and customer proof points that can be leveraged globally.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of experience\u0026lt;/strong\u0026gt; in partner marketing or alliance marketing for an enterprise software or SaaS company.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven experience working with consulting firms, GSIs, or system integrators\u0026lt;/strong\u0026gt; in cloud, data, AI, or enterprise software, with a track record of growing joint pipeline and revenue.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demonstrated success building and executing joint campaigns and co-marketing programs\u0026lt;/strong\u0026gt; (webinars, events, digital campaigns, and partner-led activities) that deliver measurable pipeline and opportunity impact.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience creating high-impact joint partner content and sales enablement materials\u0026lt;/strong\u0026gt;, such as solution briefs, industry use cases, campaign assets, and customer proof points that support partner-led selling.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong program management, communication, and cross-functional leadership skills\u0026lt;/strong\u0026gt;, with the ability to align Business Development, Partner Solution Architects, Product Marketing, and Regional Marketing around shared goals.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain familiarity with cloud, big data, analytics, data warehousing, machine learning, or AI technologies\u0026lt;/strong\u0026gt;, sufficient to position differentiated joint solutions with senior technical and business stakeholders.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Confident presenter with experience enabling partners and customers\u0026lt;/strong\u0026gt; through conferences, seminars, webinars, or executive briefings, using storytelling and data to drive action.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$147,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$202,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$191,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$130,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$179,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8429978002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6366801002,"location":{"name":"Mountain View, California; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8429978002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"RDQ427R273","title":"Sr. Product Designer, AI/BI","company_name":"Databricks","first_published":"2026-02-19T13:08:38-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R273\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions.\u0026amp;nbsp;You\u0026#39;ll be working closely with the product and engineering teams based in Seattle.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Reimagine how users explore data using natural language and AI assistance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design interactions that make AI-generated insights transparent and trustworthy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create experiences that move from exploration → validation → action in minutes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable collaboration between data engineers, analysts, and business leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help define new design patterns for AI-native enterprise software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product design work experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A bachelor\u0026#39;s degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’re comfortable talking to strategic customers in key decision-making positions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A portfolio showcasing the end-to-end design process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding React, SQL, CSS, and/or Python is a nice-to-have.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$199,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$137,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$189,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8517577002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6394832002,"location":{"name":"Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8517577002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1602","title":"Sr Production Engineer- Public Sector","company_name":"Databricks","first_published":"2026-04-21T18:23:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;P-1602\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don’t just use the cloud; we are \u0026quot;cloud maximalists.\u0026quot; Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the \u0026quot;sovereign layer\u0026quot; of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Security-Focused Cloud Operations\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, automate, and operate the \u0026lt;strong\u0026gt;IAM, account/subscription, and project lifecycle\u0026lt;/strong\u0026gt; across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review, implement, and continuously improve \u0026lt;strong\u0026gt;cloud identity and access policies\u0026lt;/strong\u0026gt; (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Production Engineering \u0026amp;amp; Automation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain \u0026lt;strong\u0026gt;reliable, observable automation and tooling\u0026lt;/strong\u0026gt; to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Treat operational and security issues as \u0026lt;strong\u0026gt;software problems\u0026lt;/strong\u0026gt;: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Security Data Pipelines \u0026amp;amp; Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and improve \u0026lt;strong\u0026gt;security and audit logging data pipelines\u0026lt;/strong\u0026gt; from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Security, Compliance, and Audit teams to provide \u0026lt;strong\u0026gt;evidence, clarifications, and policy updates\u0026lt;/strong\u0026gt; that keep our environments aligned with evolving standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Regulated \u0026amp;amp; Specialized Environments\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Operate and improve \u0026lt;strong\u0026gt;specialized, highly regulated environments\u0026lt;/strong\u0026gt; (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure high availability and resiliency for critical security and access infrastructure across these environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;On-Call \u0026amp;amp; Incident Response\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Participate in a \u0026lt;strong\u0026gt;24x7 on-call rotation\u0026lt;/strong\u0026gt; for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Required:\u0026lt;/strong\u0026gt; Candidates must be \u0026lt;strong\u0026gt;eligible\u0026lt;/strong\u0026gt; for a \u0026lt;strong\u0026gt;Top Secret / Sensitive Compartmented Information (TS/SCI)\u0026lt;/strong\u0026gt; security clearance.\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt; Possession of a current \u0026lt;strong\u0026gt;polygraph\u0026lt;/strong\u0026gt; (Counterintelligence or Full Scope) is highly desired and considered a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education- \u0026lt;/strong\u0026gt;BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;5+ years of experience in production engineering, SRE, security engineering, or cloud infrastructure roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure Expertise\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on experience with at least one major cloud provider (\u0026lt;strong\u0026gt;AWS, Azure, or GCP\u0026lt;/strong\u0026gt;) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in\u0026amp;nbsp;\u0026lt;strong\u0026gt;Infrastructure-as-Code and automation\u0026lt;/strong\u0026gt; (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security \u0026amp;amp; Compliance Mindset\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience working in or with\u0026amp;nbsp;\u0026lt;strong\u0026gt;security-sensitive or regulated environments\u0026lt;/strong\u0026gt; (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with\u0026amp;nbsp;\u0026lt;strong\u0026gt;access review processes, policy baselines, and audit evidence\u0026lt;/strong\u0026gt; for cloud environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational \u0026lt;/strong\u0026gt;Excellence\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;Okta, Opal, or similar identity/access tooling\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background operating secure admin workstations (SAW) or comparable hardened access patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience migrating cloud accounts or subscriptions during \u0026lt;strong\u0026gt;M\u0026amp;amp;A or large-scale reorganizations\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$135,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$186,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4039466002,"name":"Virginia","location":"Virginia","child_ids":[4029647002,4032564002,4036963002,4056379002],"parent_id":4056357002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8200284002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6250143002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8200284002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"RDQ127R236","title":"Sr. Product Manager, Compute Platform","company_name":"Databricks","first_published":"2025-10-06T22:34:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R236\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a \u0026lt;strong\u0026gt;customer-obsessed, strategic, \u0026lt;/strong\u0026gt;and\u0026lt;strong\u0026gt; action-oriented\u0026lt;/strong\u0026gt; Sr. Product Manager for the \u0026lt;a href=\u0026quot;https://docs.databricks.com/aws/en/compute/\u0026quot;\u0026gt;Compute Platform\u0026lt;/a\u0026gt;. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with leadership to align product initiatives with business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use data-driven insights to measure success, iterate, and improve user experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management experience, preferably in cloud, analytics, or data platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of data platforms, the compute products that power them, and compute use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Educational background in computer science or related engineering practice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with engineers and designers to ship high-impact and cross-functional products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication and storytelling skills to inspire teams and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,525 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8200462002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6250143002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8200462002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"RDQ127R236","title":"Sr. Product Manager, Compute Platform","company_name":"Databricks","first_published":"2025-10-06T22:34:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R236\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a \u0026lt;strong\u0026gt;customer-obsessed, strategic, \u0026lt;/strong\u0026gt;and\u0026lt;strong\u0026gt; action-oriented\u0026lt;/strong\u0026gt; Sr. Product Manager for the \u0026lt;a href=\u0026quot;https://docs.databricks.com/aws/en/compute/\u0026quot;\u0026gt;Compute Platform\u0026lt;/a\u0026gt;. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with leadership to align product initiatives with business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use data-driven insights to measure success, iterate, and improve user experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management experience, preferably in cloud, analytics, or data platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of data platforms, the compute products that power them, and compute use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Educational background in computer science or related engineering practice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with engineers and designers to ship high-impact and cross-functional products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication and storytelling skills to inspire teams and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$215,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8136071002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6223357002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8136071002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ127R47","title":"Sr. Product Manager, Databricks AI","company_name":"Databricks","first_published":"2025-08-25T14:19:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R47\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;More about the Team:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape the future of enterprise AI:\u0026lt;/strong\u0026gt; Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Turn breakthroughs into products\u0026lt;/strong\u0026gt;: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Expand what’s possible for customers\u0026lt;/strong\u0026gt;: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Be the voice of vision and execution\u0026lt;/strong\u0026gt;: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build for scale and longevity\u0026lt;/strong\u0026gt;: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of bringing products from vision to launch in fast-moving, competitive spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: exposure to building AI/ML or generative AI–powered products.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$215,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8136204002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6223357002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8136204002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ127R47","title":"Sr. Product Manager, Databricks AI","company_name":"Databricks","first_published":"2025-08-25T14:19:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ127R47\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;More about the Team:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Shape the future of enterprise AI:\u0026lt;/strong\u0026gt; Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Turn breakthroughs into products\u0026lt;/strong\u0026gt;: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Expand what’s possible for customers\u0026lt;/strong\u0026gt;: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Be the voice of vision and execution\u0026lt;/strong\u0026gt;: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build for scale and longevity\u0026lt;/strong\u0026gt;: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of bringing products from vision to launch in fast-moving, competitive spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: exposure to building AI/ML or generative AI–powered products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,525 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7680573002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6021770002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7680573002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ126R51","title":"Sr. Product Manager, Databricks Free Edition","company_name":"Databricks","first_published":"2024-10-11T14:53:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ126R51\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Mission\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with academic and learning program partners to support data and AI education through Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and track success metrics that measure learning engagement and user outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management experience, preferably in data, AI, or developer-focused platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong customer empathy and passion for creating learning and onboarding experiences that empower users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical proficiency to collaborate effectively with engineering on data and platform capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$215,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8235785002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6021770002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8235785002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ126R51","title":"Sr. Product Manager, Databricks Free Edition","company_name":"Databricks","first_published":"2025-10-31T12:57:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ126R51\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Mission\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with academic and learning program partners to support data and AI education through Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and track success metrics that measure learning engagement and user outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management experience, preferably in data, AI, or developer-focused platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong customer empathy and passion for creating learning and onboarding experiences that empower users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical proficiency to collaborate effectively with engineering on data and platform capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,525 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8326513002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6324644002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8326513002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"RDQ427R130","title":"Sr. Product Manager, Databricks Repos","company_name":"Databricks","first_published":"2025-12-05T16:31:10-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R130\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;More about the team:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience as a Product Manager working on platform products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience being a hands-on builder, must be comfortable using our own developer-facing products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for designing products that simplify user experience of technically complex products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$215,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8326570002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6324644002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8326570002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"RDQ427R130","title":"Sr. Product Manager, Databricks Repos","company_name":"Databricks","first_published":"2025-12-05T16:31:12-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R130\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;More about the team:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience as a Product Manager working on platform products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience being a hands-on builder, must be comfortable using our own developer-facing products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for designing products that simplify user experience of technically complex products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,525 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6322654002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4365065002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":null,"value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":6322654002,"updated_at":"2026-07-24T19:28:42-04:00","requisition_id":"P-8","title":"Sr. Product Manager, Data Engineering","company_name":"Databricks","first_published":"2022-08-11T14:18:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-8\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead product management for one of the fastest growing products and businesses at Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make company wide impact by driving Data Engineering across the Databricks product portfolio\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define, shape, and drive the future of data processing, data applications, and data pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product management and related experience with enterprise or SaaS products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Educational or professional background in computer science or related engineering fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical skills to make data-driven decisions (e.g. analyze product usage)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A background in Data Engineering is a plus but not required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$115,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7863365002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6102215002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7863365002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ226R497","title":"Sr. Product Manager, Data Governance","company_name":"Databricks","first_published":"2025-02-13T23:21:53-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ226R497\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be a Sr Product Manager for Unity Catalog (\u0026lt;a href=\u0026quot;https://databricks.com/product/unity-catalog\u0026quot;\u0026gt;https://databricks.com/product/unity-catalog\u0026lt;/a\u0026gt;). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers\u0026#39; data and AI assets.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and launch new governance and security capabilities as part of Unity Catalog.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and build new platform services that enable Databricks’ data \u0026amp;amp; AI product teams (ML/AI, Data Science \u0026amp;amp; Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of enterprise B2B Product Management experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Educational background in computer science or related engineering practice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with databases and/or data warehouses, security, and catalogs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in working closely with enterprise customers and ISV partners in the data market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$215,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7863522002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6102215002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7863522002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ226R497","title":"Sr. Product Manager, Data Governance","company_name":"Databricks","first_published":"2025-02-13T23:21:53-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ226R497\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be a Sr Product Manager for Unity Catalog (\u0026lt;a href=\u0026quot;https://databricks.com/product/unity-catalog\u0026quot;\u0026gt;https://databricks.com/product/unity-catalog\u0026lt;/a\u0026gt;). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers\u0026#39; data and AI assets.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and launch new governance and security capabilities as part of Unity Catalog.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and build new platform services that enable Databricks’ data \u0026amp;amp; AI product teams (ML/AI, Data Science \u0026amp;amp; Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of enterprise B2B Product Management experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Educational background in computer science or related engineering practice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with databases and/or data warehouses, security, and catalogs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in working closely with enterprise customers and ISV partners in the data market.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$148,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$204,525 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8203285002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6251375002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":8203285002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"GAQ426R322","title":"Sr Product Manager, Employee Experience","company_name":"Databricks","first_published":"2025-11-14T18:14:42-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Sr Product Manager, Employee Experience\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; San Francisco, CA or Mountain View, CA\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;GAQ426R322\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organization is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools; designing a unified, AI-driven experience that integrates data, insights, and workflows across the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for a Senior Product Manager (L5) to lead strategy and delivery for our newly formed People Pod. This role is a \u0026quot;zero to one\u0026quot; initiative focused on building next-generation agentic workflows on top of Databricks to fundamentally enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Product Manager for the People Pod, you will own a highly visible, zero-to-one product area, driving product thought leadership to shape how Databricks scales its internal workforce lifecycle through advanced automation and specialist domain applications.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the Zero-to-One Vision:\u0026lt;/strong\u0026gt; Define and evolve the long-term strategy for the unified employee and manager experience, specifically focusing on advanced agentic workflows and automation tailored to the People function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Product Strategy \u0026amp;amp; Automation:\u0026lt;/strong\u0026gt; Partner closely with developers, engineering teams, and stakeholders across People Operations and IT to design, build, and deploy intelligent agentic automation workflows on the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain Leadership:\u0026lt;/strong\u0026gt; Serve as the primary product leader specializing in talent acquisition, hiring processes, and performance management workflows, transforming standard internal tools into highly optimized, automated experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute and Measure:\u0026lt;/strong\u0026gt; Define success metrics (adoption, efficiency, engagement, automation accuracy) and use data-driven insights to guide rapid iteration and development within an evolving field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Influence and Collaborate:\u0026lt;/strong\u0026gt; Report directly to VP of Product in IT and work cross-functionally to align engineering, design, and senior leadership around the automated product vision, evangelizing the roadmap in company-wide productivity and AI discussions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;What You Bring\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years of product management experience\u0026lt;/strong\u0026gt;, with a proven track record leading specialized, highly technical, or zero-to-one enterprise and internal product initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Specialist Domain Expertise:\u0026lt;/strong\u0026gt; Deep background in human resources and people-process functions, specifically with concrete experience in \u0026lt;strong\u0026gt;hiring, talent acquisition, employee experience and performance management\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agentic Automation \u0026amp;amp; Advanced AI:\u0026lt;/strong\u0026gt; Hands-on experience or a strong technical understanding of \u0026lt;strong\u0026gt;agentic automation\u0026lt;/strong\u0026gt;, LLM orchestration, and modern AI-driven workflows to streamline operational bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic \u0026amp;amp; Product Thought Leadership:\u0026lt;/strong\u0026gt; Demonstrated ability to own a product domain end-to-end, linking automation outcomes directly to corporate scaling and employee experience goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical \u0026amp;amp; Data Fluency:\u0026lt;/strong\u0026gt; Strong understanding of building on advanced data platforms, user-centered design, data-informed development, and modern enterprise governance practices (e.g., RBAC/ABAC).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ambiguity Champion:\u0026lt;/strong\u0026gt; Highly comfortable leading through extreme ambiguity, managing complex stakeholder landscapes, and collaborating directly with engineering pods to build applications from scratch.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience developing custom productivity applications or automation layers on data platforms (such as Databricks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with enterprise HR ecosystems like Workday, ServiceNow, or similar core systems of record, specifically regarding their API limitations and integration surfaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Why You’ll Love This Role\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to build one of Databricks’ most visible and innovative internal products, touching every employee and manager. You’ll define how the company experiences its own culture, systems, and data, while shaping a product that directly leverages Databricks’ own bleeding-edge technology. You’ll have the autonomy to create the future of how Databricks works, operating in a highly strategic environment with a direct line to leadership.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$145,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$199,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095718002,"name":"Integration, Data, Engineering and Applications","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8186386002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6244445002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks B.V.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8186386002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"RDQ426R402","title":"Sr. Product Manager, Lakeflow","company_name":"Databricks","first_published":"2025-09-29T12:42:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ426R402\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Product Manager\u0026lt;/strong\u0026gt; on the\u0026lt;strong\u0026gt; Lakeflow Jobs team\u0026lt;/strong\u0026gt;, you will shape the future of \u0026lt;strong\u0026gt;data-aware orchestration \u0026lt;/strong\u0026gt;on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires a deep understanding of \u0026lt;strong\u0026gt;orchestration workflows\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;data pipelines\u0026lt;/strong\u0026gt;, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams. \u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Define strategy \u0026amp;amp; roadmap:\u0026lt;/strong\u0026gt; Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive metrics \u0026amp;amp; observability:\u0026lt;/strong\u0026gt; Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborate cross-functionally:\u0026lt;/strong\u0026gt; Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Champion customer needs: \u0026lt;/strong\u0026gt;Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the product lifecycle: \u0026lt;/strong\u0026gt;Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;What we look for:\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ yrs of experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors degree in Computer Science or similar field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Product Management (inbound, outbound, cross-functional processes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8387085002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6348319002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8387085002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"RDQ427R180","title":"Sr. Product Manager - Technical","company_name":"Databricks","first_published":"2026-01-23T13:35:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R180\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started. \u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;More about the team:\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Technical Product Manager\u0026lt;/strong\u0026gt;, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. This role requires you to deeply understand both\u0026amp;nbsp;\u0026lt;strong\u0026gt;functional and non-functional requirements\u0026lt;/strong\u0026gt;, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical field teams\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;product and engineering\u0026lt;/strong\u0026gt;. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Depending on your background, you will focus on \u0026lt;strong\u0026gt;one of two critical product areas\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;OLTP Databases\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;Data Governance\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The Impact you will have:\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify and drive impactful product improvements in your domain of expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape and prioritize a meaningful product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support go-to-market efforts and guide product adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with a strong, hands-on technical background\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong empathy for customers across full spectrum of Data Platform users\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain expertise in \u0026lt;strong\u0026gt;one\u0026lt;/strong\u0026gt; of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Transactional databases (OLTP), cloud-native databases, or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data governance, data catalogs, lineage, and access management\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python and SQL skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience using AI-assisted development tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with systems design and architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to work effectively across product, engineering, and technical field teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$156,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$215,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407915002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6356449002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8407915002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"MKTQ227R20","title":"Sr. Product Marketing Manager, Lakebase \u0026 Agentic Apps","company_name":"Databricks","first_published":"2026-02-10T20:34:06-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ227R20\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports to the Senior Director of Product Marketing and works closely with product, engineering, and field teams.\u0026lt;br\u0026gt;In this role, you will own Lakebase product marketing for application developers and database owners, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI. This is a critical role for the business and you will be the subject matter expert on database marketing. You will be the leader owning the messaging and guiding the content and GTM across all aspects of database marketing, through sales, partner, and marketing teams, and helping drive the awareness and adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Ideal candidates will have a proven record in product marketing and experience working on technical products. You would have a strong understanding of Data \u0026amp;amp; AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the messaging of Lakebase and clearly articulate its value for operational, analytical, and AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and evolve use-case driven messaging for application developers and database owners, aligned with the broader Databricks Data Intelligence Platform narrative\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Amplify messaging through Databricks own website and channels, as well as through partners’ webpages\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Land sales enablement content and deliver high CSAT scores with field teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the expert when it comes to any database messaging for any campaign or event Databricks is running, and enable teams with highly performant content to drive strong engagement and pipeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with partner marketing teams at Databricks to coordinate our messaging at sponsored cloud events, such as Microsoft Ignite and AWS re:invent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in joint business reviews with sales and partner teams, understand gaps where Lakebase marketing can help, and execute to drive a stronger impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver customer stories and proof points that demonstrate real-world Lakebase adoption and impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in marketing cloud databases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of databases, analytics, and/or AI space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building marketing content for technical personas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with sales teams (field marketing, enablement)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with partners (SI and/or ISVs)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred technical academic background (BS in computer science or related discipline) or experience, coupled with MBA\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$147,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$202,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$191,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$130,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$179,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4033544002,"name":"New Jersey","location":"New Jersey","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493857002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392736002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8493857002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"MKTQ227R16","title":"Sr. Product Marketing Manager, Lakewatch","company_name":"Databricks","first_published":"2026-04-24T17:02:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ227R16\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic Security Lakehouse that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a \u0026lt;strong\u0026gt;Sr. Product Marketing Manager \u0026lt;/strong\u0026gt;to support the marketing strategy for these emerging applications to support Lakewatch in its next phase of growth. In this role, you will shape and execute the go-to-market strategy and tactics for Lakewatch and other applications in the Agentic Apps portfolio, collaborating closely with demand generation, sales, partners, external agencies and contractors, and the broader Databricks marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits within the product marketing organization and works cross-functionally with demand generation, product, sales, and alliances.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hit or exceed Lakewatch and Agentic Apps pipeline and revenue goals\u0026lt;/strong\u0026gt; by shaping and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute content and field marketing activities across Agentic Apps\u0026lt;/strong\u0026gt; by building and deploying scalable marketing programs that increase awareness, improve perception, and drive demand for Databricks Agentic Apps, with an emphasis on decision makers and senior executives in the line of business domain areas.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Increase Lakewatch and Agentic Apps adoption and usage across priority customer segments\u0026lt;/strong\u0026gt; by co-creating a compelling narrative and positioning that differentiates Databricks in its various application spaces with an emphasis on cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish Databricks as a recognized leader in its App Domains, with an emphasis on Cybersecurity - \u0026lt;/strong\u0026gt;by driving thought leadership, field activity, content creation, sales collateral, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and pipeline contribution and progression\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deliver high-impact product and feature launches\u0026lt;/strong\u0026gt; that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new capabilities within defined timeframes after launch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Improve sales and overlay effectiveness in sales opportunities\u0026lt;/strong\u0026gt; by building and scaling sales plays, messaging, and enablement that increase Lakewatch and Agentic Apps win rates and reduce sales cycle times across core regions and segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Grow partner-sourced and partner-influenced pipeline\u0026lt;/strong\u0026gt; by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Continuously optimize GTM performance\u0026lt;/strong\u0026gt; by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Extensive product marketing experience in enterprise security software\u0026lt;/strong\u0026gt;, with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven ability to build and scale GTM for new or early-stage products\u0026lt;/strong\u0026gt;, including setting goals, defining content and field marketing strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience in both hands-on execution and 3rd party agencies\u0026lt;/strong\u0026gt; for content and events in running demand generation, awareness, and field marketing activity\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience in “outbound” product marketing such as content marketing, field marketing\u0026lt;/strong\u0026gt;, working with owned and 3rd party events teams, external agencies and partners, to drive results and maintain a high level of excellence in execution\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Attention to detail and operational thinking\u0026lt;/strong\u0026gt; that uses sound judgment to determine the right levels of execution for cross-product marketing initiatives – from practitioner activity like 3rd party conference sponsorships and demand gen content creation, to executive level events like Executive Forums.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demonstrated success partnering with product and demand generation\u0026lt;/strong\u0026gt; to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience enabling global sales and partner organizations on new solutions or categories\u0026lt;/strong\u0026gt;, with evidence that your plays, content, field activity, and enablement improved product line outcomes such as win rates, pipeline progression, sales cycle times, or attach rates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience collaborating with technology partners or ecosystems\u0026lt;/strong\u0026gt; to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong communication\u0026lt;/strong\u0026gt;, comfortable driving cross-functional initiatives, influencing without direct authority, and representing Databricks with customers, partners, analysts, and at industry events.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Comfort operating in a fast-paced, highly cross-functional environment\u0026lt;/strong\u0026gt;, where you help define new motions and processes rather than simply optimizing established playbooks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$147,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$202,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$191,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$130,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$179,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439170002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6371105002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8439170002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ327R143","title":"Sr. Program Manager, Accenture Business Group","company_name":"Databricks","first_published":"2026-03-11T20:23:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R143\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Sr. Program Manager will lead the Accenture Databricks Business Group (ADBG) and build the operating model that powers one of Databricks’ most strategic global partnerships. In this role, you will own the governance, portfolio management, and execution cadence for the ADBG, while also overseeing a focused strategic investment program that accelerates joint innovation with Accenture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Sr. Program Manager of ADBG, your primary mission is to design, launch, and scale the global operating framework that ensures Databricks and Accenture execute consistently, predictably, and with clear accountability across all joint initiatives. As a key extension of this mission, you will also define and manage a targeted partner innovation investment program that is fully integrated into the governance, ensuring that all investments are strategically aligned, operationally sound, and measurable for impact.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish, operationalize, and programmatize the Accenture BG, including governance structures, operating cadence, and delivery standards for all joint Databricks–Accenture initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain an end-to-end, integrated portfolio view covering pipeline, active programs, dependencies, financial performance, delivery health, and risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead executive and operational cadences (QBRs, steering committees, exec reviews) to drive decisions, resolve escalations, and ensure alignment across Databricks and Accenture stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain KPI dashboards and reporting that provide clear visibility into revenue, utilization, program status, delivery quality, and customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and roll out standardized tools, templates, and best practices for planning, tracking, governance, and reporting, enabling consistent, scalable execution across regions and industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work cross-functionally (C\u0026amp;amp;SI, ISV Ecosystem, GTM Strategy \u0026amp;amp; Ops, Business Strategy \u0026amp;amp; Ops, Industry, Legal, Finance, Product) to define a clear strategic investment framework that dovetails with PMO governance, including pillars, guardrails, and decision criteria.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure that all investments are:\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Aligned with Databricks’ evolving strategic goals and the broader Accenture BG portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structured with clear milestones, owners, and success metrics that plug into PMO tracking and reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operationalized through existing PMO processes so execution, risk, and outcomes are managed consistently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fully auditable, with documented decisions and consolidated reporting via PMO dashboards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Accenture leadership and field teams to source, qualify, and shape investment opportunities, using standardized proposal formats that enable apples-to-apples evaluation by Databricks leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;We look for an experienced program management leader who is also a strategic builder: someone who anchors on operational excellence but is energized by shaping new, high-impact investment mechanisms within that structure. You are comfortable leading through influence across Databricks and Accenture, and you are motivated by building a foundational, scalable operating engine for one of Databricks’ most important partnerships.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong PMO and portfolio management leadership skills, with a track record of establishing governance and operating models in complex, multi-stakeholder environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly effective at building and leading cross-functional virtual teams across GTM, Finance, Product, Legal, and Partner organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional ability to design and orchestrate processes, drive consensus across organizations, and resolve impasses while keeping execution on track.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled negotiator with experience structuring and closing binding partner agreements that align strategic goals, risk, and return.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic, analytical mindset with a strong bias for action; able to move quickly while maintaining rigor, transparency, and auditability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15+ years of experience in program/portfolio management, partner operations, or strategic investments in hyper-growth or large-scale technology environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success standing up and leading PMO or portfolio functions for complex, global, multi-stakeholder initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record forming and leading cross-functional v-teams (GTM, Finance, Product, ISV/partner, Legal, Operations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience negotiating and closing binding contracts with partners, including GSIs, RSIs, and ISVs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical understanding of the Databricks product portfolio and modern cloud/data architectures.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$249,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$211,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$199,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001012002,"name":"Business Development","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4015609002,"name":"Utah","location":"Utah","child_ids":[],"parent_id":4056360002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8385177002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6347942002,"location":{"name":"San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8385177002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"RDQ427R179","title":"Sr. Program Manager, Data for Good","company_name":"Databricks","first_published":"2026-01-23T13:49:41-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R179\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks for Good\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What you’ll do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build durable partnerships that align Databricks’ strengths with real-world societal needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inspire employees, customers, and students to contribute their skills toward meaningful causes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence how Databricks technologies are used, taught, and evolved for public good.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help define what “data and AI for good” looks like at enterprise scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to convene communities and stakeholders across sectors and geographies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$121,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$167,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$109,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$150,350 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8347886002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6333953002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Recruiting"],"value_type":"multi_select"}],"id":8347886002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"GAQ127R121","title":"Sr. Recruiter, Sales [12-month FTC]","company_name":"Databricks","first_published":"2026-01-15T06:41:55-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ127R121\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Senior Recruiter with experience driving recruitment in the EMEA region within our Sales team, to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams. You will report directly to the Manager, EMEA Talent Acquisition.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Apply your knowledge to meet our hiring needs within Sales and develop unique full-cycle hiring strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build engaged talent pipelines for roles across Sales, with active and passive candidates which can sustain long-term hiring goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create closing approaches to manage partner expectations through market data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the business with data to promote future workforce planning decisions and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with recruiting for Sales professionals from Entry level to Director within the software industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building strategic partnerships within the business and cross-functionally.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience serving as a mentor and expert regarding all recruiting-related activities and be comfortable sharing your knowledge within the business and our wider team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant experience in a recruiting environment, ideally in-house, focussed on the SaaS software, ideally within the Data and AI space.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001020002,"name":"Recruiting","child_ids":[],"parent_id":4001271002}],"offices":[{"id":4056392002,"name":"Remote - United Kingdom","location":"Remote - United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8646989002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6381919002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Recruiting"],"value_type":"multi_select"}],"id":8646989002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"GAQ227R211","title":"Sr. Recruiter, Tech [12-month FTC]","company_name":"Databricks","first_published":"2026-07-23T09:50:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;GAQ227R211\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Tech Recruiter with experience driving recruitment in the EMEA region to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build engaged talent pipelines, with active and passive candidates, which can sustain long-term hiring goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create closing approaches to manage partner expectations through market data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the business with data to promote future workforce planning decisions and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks to provide a positive interview experience for all, and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with recruiting within the software industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building strategic partnerships within the business and cross-functionally.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience serving as a mentor and expert regarding all recruiting-related activities, and be comfortable sharing your knowledge within the business and our wider team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant experience in a recruiting environment, ideally in-house, focused on the SaaS software, ideally within the Data and AI space.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001020002,"name":"Recruiting","child_ids":[],"parent_id":4001271002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8647017002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6381919002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Recruiting"],"value_type":"multi_select"}],"id":8647017002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"GAQ227R211","title":"Sr. Recruiter, Tech [12-month FTC]","company_name":"Databricks","first_published":"2026-07-23T09:51:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;GAQ227R211\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Tech Recruiter with experience driving recruitment in the EMEA region to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build engaged talent pipelines, with active and passive candidates, which can sustain long-term hiring goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create closing approaches to manage partner expectations through market data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the business with data to promote future workforce planning decisions and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks to provide a positive interview experience for all, and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with recruiting within the software industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building strategic partnerships within the business and cross-functionally.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience serving as a mentor and expert regarding all recruiting-related activities, and be comfortable sharing your knowledge within the business and our wider team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant experience in a recruiting environment, ideally in-house, focused on the SaaS software, ideally within the Data and AI space.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001020002,"name":"Recruiting","child_ids":[],"parent_id":4001271002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8640212002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6381919002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Recruiting"],"value_type":"multi_select"}],"id":8640212002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"GAQ227R211","title":"Sr. Recruiter, Tech [12-month FTC]","company_name":"Databricks","first_published":"2026-07-20T04:55:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;GAQ227R211\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Tech Recruiter with experience driving recruitment in the EMEA region to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build engaged talent pipelines, with active and passive candidates, which can sustain long-term hiring goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create closing approaches to manage partner expectations through market data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the business with data to promote future workforce planning decisions and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks to provide a positive interview experience for all, and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with recruiting within the software industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building strategic partnerships within the business and cross-functionally.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience serving as a mentor and expert regarding all recruiting-related activities, and be comfortable sharing your knowledge within the business and our wider team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant experience in a recruiting environment, ideally in-house, focused on the SaaS software, ideally within the Data and AI space.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001020002,"name":"Recruiting","child_ids":[],"parent_id":4001271002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220814002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6257880002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8220814002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1476","title":"Sr Software Engineer, Agentic Applications","company_name":"Databricks","first_published":"2026-03-03T11:24:08-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1476\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Mountain View, CA\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr Software Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example experiences you\u0026#39;ll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Seamless onboarding and management for all members of an organization to become data-driven.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide a great SQL-centric data exploration and dashboarding experience on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An interactive environment for\u0026lt;strong\u0026gt; collaborative\u0026lt;/strong\u0026gt; data projects at massive \u0026lt;strong\u0026gt;scale\u0026lt;/strong\u0026gt; with an easy path to \u0026lt;strong\u0026gt;production.\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading large multi-quarter efforts with a demonstrated customer or business impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and an understanding of front-end architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with server-side web technologies is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building large-scale products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7643201002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6006194002,"location":{"name":"Aarhus, Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7643201002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1343","title":"Sr. Software Engineer - Backend","company_name":"Databricks","first_published":"2024-09-17T14:41:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1343\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Supporting Databricks\u0026#39; growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of professional software development experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in one or more backend languages such as Java, Scala, or Go.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in developing and operating large-scale, critical distributed backend systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-driven and passionate with a strong focus on delivering impact through team collaboration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4086869002,"name":"Aarhus, Denmark","location":"Aarhus, Denmark","child_ids":[],"parent_id":4018697002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8416951002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6361783002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8416951002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"P-1651","title":"Sr Software Engineer- Customer Experience Intelligence (CXI)","company_name":"Databricks","first_published":"2026-03-05T16:42:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1651\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Software Engineer for Customer Experience Intelligence,\u0026amp;nbsp;you will architect and deliver Databricks\u0026#39; AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect the Agentic Ecosystem:\u0026lt;/strong\u0026gt; Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale across multiple domains: \u0026lt;/strong\u0026gt;Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineered Reliability:\u0026lt;/strong\u0026gt; Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Complex Workflows:\u0026lt;/strong\u0026gt; Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise-Grade Observability:\u0026lt;/strong\u0026gt; Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Leadership:\u0026lt;/strong\u0026gt; Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the Bar:\u0026lt;/strong\u0026gt; Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and Cultivate:\u0026lt;/strong\u0026gt; Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in large projects similar to those described, including automation tooling, distributed systems, and API’s\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive full stack development experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success designing and deploying production-grade automation in complex technical environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with ML-assisted systems, decision support, or agentic automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8617901002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6441848002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8617901002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"P-1640","title":"Sr Software Engineer- CXI","company_name":"Databricks","first_published":"2026-07-15T18:24:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1640\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a\u0026amp;nbsp;Sr. Backend Software Engineer for Customer Experience Intelligence (CXI\u0026lt;strong\u0026gt;)\u0026lt;/strong\u0026gt;, you will architect and deliver Databricks\u0026#39; AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect the Agentic Ecosystem:\u0026lt;/strong\u0026gt; Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale across multiple domains: \u0026lt;/strong\u0026gt;Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineered Reliability:\u0026lt;/strong\u0026gt; Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Complex Workflows:\u0026lt;/strong\u0026gt; Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise-Grade Observability:\u0026lt;/strong\u0026gt; Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Leadership:\u0026lt;/strong\u0026gt; Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the Bar:\u0026lt;/strong\u0026gt; Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and Cultivate:\u0026lt;/strong\u0026gt; Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related engineering field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive backend development experience designing, building, and maintaining high-throughput production systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493170002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392451002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":8493170002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"GAQ127R41","title":"Sr Software Engineer, Infrastructure","company_name":"Databricks","first_published":"2026-04-21T18:39:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;GAQ127R41\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt; San Francisco, CA (Hybrid)\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Senior Software Engineer (Infrastructure)\u0026lt;/strong\u0026gt;, you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently \u0026quot;immature\u0026quot; system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect and Automate: \u0026lt;/strong\u0026gt;Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestration:\u0026lt;/strong\u0026gt; Manage and scale containerized workloads using \u0026lt;strong\u0026gt;AKS (Azure Kubernetes Service)\u0026lt;/strong\u0026gt; or EKS, focusing on cluster security and resource efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;CI/CD Excellence:\u0026lt;/strong\u0026gt; Architect robust deployment pipelines using \u0026lt;strong\u0026gt;GitHub Actions\u0026lt;/strong\u0026gt;, managing both \u0026lt;strong\u0026gt;GitHub-hosted\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;self-hosted runners\u0026lt;/strong\u0026gt; for specialized build requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive \u0026quot;Observable by Default\u0026quot; Frameworks:\u0026lt;/strong\u0026gt; Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Tooling, Scripting \u0026amp;amp; AI :\u0026lt;/strong\u0026gt; Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner Cross-Functionally:\u0026lt;/strong\u0026gt; Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and Document:\u0026lt;/strong\u0026gt; Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Software Engineering Expertise:\u0026lt;/strong\u0026gt; 5+ years of production-level experience with a strong proficiency in \u0026lt;strong\u0026gt;Python\u0026lt;/strong\u0026gt; (non-negotiable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;IaC:\u0026lt;/strong\u0026gt; Expert-level proficiency in \u0026lt;strong\u0026gt;Terraform\u0026lt;/strong\u0026gt; (modules, state management) or \u0026lt;strong\u0026gt;Pulumi(Preferred)\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure Breadth:\u0026lt;/strong\u0026gt; Hands-on experience with \u0026lt;strong\u0026gt;AWS\u0026lt;/strong\u0026gt; (or Azure/GCP), \u0026lt;strong\u0026gt;Kubernetes\u0026lt;/strong\u0026gt;, Docker and containerization concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Automation \u0026amp;amp; Integration Mindset:\u0026lt;/strong\u0026gt; Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;CI/CD:\u0026lt;/strong\u0026gt; Advanced knowledge of Github Actions, Github Runners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong Observability Mindset:\u0026lt;/strong\u0026gt; Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like \u0026lt;strong\u0026gt;Datadog, Prometheus, or ELK\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Distributed Systems:\u0026lt;/strong\u0026gt; Proficiency in running systems through concepts like \u0026lt;strong\u0026gt;Kafka\u0026lt;/strong\u0026gt; or messaging queues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Independent Execution:\u0026lt;/strong\u0026gt; Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$159,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$219,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095717002,"name":"Infrastructure","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8211450002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6253764002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8211450002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1286","title":"Sr Software Engineer-Networking","company_name":"Databricks","first_published":"2025-10-14T15:50:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;(P-1286)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience working on large-scale compute clusters, network connectivity, and automation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$157,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$213,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8211452002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6253764002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8211452002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1286","title":"Sr Software Engineer-Networking","company_name":"Databricks","first_published":"2025-10-14T15:51:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;(P-1286)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience working on large-scale compute clusters, network connectivity, and automation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6569774002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4756920002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6569774002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-97","title":"Sr. Software Engineer - Performance","company_name":"Databricks","first_published":"2023-01-12T19:06:46-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;P-97\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. Databricks develops and operates one of the largest scale software platforms; the fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a performance engineer, you will work closely with multiple teams across the company to evaluate the performance of products and features, identify performance bottlenecks, and partner with engineers to solve performance and scalability issues. This implies, among other teams, setting performance targets for various software releases, guiding teams to develop performance benchmarks, running competitive benchmark analysis for different Databricks products, doing deep dive analysis to identify performance issues and fix them.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved. Dimensions include latency, data and compute scalability, concurrency, cost, and price to performance ratio. Impact spans all cloud providers and all major areas.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Set the performance expectations for all cross-cutting efforts early on through specialized benchmarks capturing the intended customer user journeys, and make sure they are met before deployed to customers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Understand the performance characteristics of the compute instance types, storage layers, and all cloud services Databricks depends on and deploy optimal solutions to meet the customer demand.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Work with customers to root cause and mitigate performance problems during production, previews, and POCs.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;BS (or higher degree) in Computer Science, or a related field\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in software development, preferably in large scale distributed systems\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Ability to measure and document the impact of performance features to existing customers, such as possible regressions for certain workloads, their extent, and which customers will be affected.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6569772002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4756920002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6569772002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-97","title":"Sr. Software Engineer - Performance ","company_name":"Databricks","first_published":"2023-01-12T19:06:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;P-97\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. Databricks develops and operates one of the largest scale software platforms; the fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a performance engineer, you will work closely with multiple teams across the company to evaluate the performance of products and features, identify performance bottlenecks, and partner with engineers to solve performance and scalability issues. This implies, among other teams, setting performance targets for various software releases, guiding teams to develop performance benchmarks, running competitive benchmark analysis for different Databricks products, doing deep dive analysis to identify performance issues and fix them.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved. Dimensions include latency, data and compute scalability, concurrency, cost, and price to performance ratio. Impact spans all cloud providers and all major areas.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Set the performance expectations for all cross-cutting efforts early on through specialized benchmarks capturing the intended customer user journeys, and make sure they are met before deployed to customers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Understand the performance characteristics of the compute instance types, storage layers, and all cloud services Databricks depends on and deploy optimal solutions to meet the customer demand.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Work with customers to root cause and mitigate performance problems during production, previews, and POCs.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;BS (or higher degree) in Computer Science, or a related field\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in software development, preferably in large scale distributed systems\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Ability to measure and document the impact of performance features to existing customers, such as possible regressions for certain workloads, their extent, and which customers will be affected.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8512856002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6394829002,"location":{"name":"McLean, Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8512856002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1366","title":"Sr Software Engineer -Public Sector","company_name":"Databricks","first_published":"2026-04-21T11:59:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;P-1366\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;At Databricks, we don’t just build software for the cloud; we are \u0026quot;cloud maximalists.\u0026quot; We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where \u0026quot;zero-waste\u0026quot; compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect Scalable Systems:\u0026lt;/strong\u0026gt; Design and implement highly available backend services using \u0026lt;strong\u0026gt;Scala, Java, Go, C++/C or similar\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Distributed Systems Engineering: \u0026lt;/strong\u0026gt;Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure at Scale: \u0026lt;/strong\u0026gt;Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance Optimization: \u0026lt;/strong\u0026gt;Drive \u0026quot;zero-waste\u0026quot; compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security \u0026amp;amp; Reliability: \u0026lt;/strong\u0026gt;Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Required:\u0026lt;/strong\u0026gt; Candidates must hold a \u0026lt;strong data-path-to-node=\u0026quot;6,0\u0026quot; data-index-in-node=\u0026quot;33\u0026quot;\u0026gt;current TS/SCI clearance\u0026lt;/strong\u0026gt; (either active or currently held in an editable/re-activatable status within the 2-year window).\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt; Possession of a current \u0026lt;strong\u0026gt;polygraph\u0026lt;/strong\u0026gt; (Counterintelligence or Full Scope) is highly desired and considered a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Breadth:\u0026lt;/strong\u0026gt; BS/MS/PhD in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 6+ years of professional software development experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems Expertise:\u0026lt;/strong\u0026gt; Deep understanding of \u0026lt;strong\u0026gt;Distributed Systems\u0026lt;/strong\u0026gt;, concurrency, and performance optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Language Proficiency:\u0026lt;/strong\u0026gt; Strong production-level experience in at least one of: \u0026lt;strong\u0026gt;Java, Scala, Go, or C++\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud Experience:\u0026lt;/strong\u0026gt; Experience building and deploying large-scale SaaS or cloud-native applications.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$155,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4039466002,"name":"Virginia","location":"Virginia","child_ids":[4029647002,4032564002,4036963002,4056379002],"parent_id":4056357002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8620635002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6442719002,"location":{"name":"Melbourne, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8620635002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R87","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-07-07T07:13:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;FEQ327R87\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location: Melbourne\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! This is a hybrid role based in Melbourne.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4012490002,"name":"Melbourne, Australia","location":"Melbourne, Australia","child_ids":[],"parent_id":4033878002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476064002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6385644002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8476064002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"FEQ227R53","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-04-13T03:55:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ227R53\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Solutions Architect, you will shape the future of the Data \u0026amp;amp; AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical advisor\u0026amp;nbsp;\u0026lt;/strong\u0026gt;internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You\u0026#39;ll grow as a leader in your field, while\u0026amp;nbsp;finding solutions to our customers\u0026#39; biggest challenges in big data, analytics, data engineering and data science problems\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with your fellow Solutions Architects, using your skills to support each other and our users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience\u0026amp;nbsp;with\u0026amp;nbsp;Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong consulting / customer facing\u0026amp;nbsp;experience , working\u0026amp;nbsp;with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding experience in Python, R, Java, Apache Spark™ or Scala\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8593411002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6432375002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8593411002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R322","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-06-18T22:22:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;FEQ327R322\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! This is a hybrid role based in Sydney.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4002843002,"name":"Sydney, Australia","location":"Sydney, Australia","child_ids":[],"parent_id":4033877002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8622162002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443334002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8622162002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ427R338","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-07-08T02:00:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;FEQ427R338\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8607059002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437683002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8607059002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R461","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-07-13T14:03:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Sr. Solutions Architect, Retail - CPG\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p3\u0026quot;\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p3\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p3\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ul1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;8+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;4+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li3\u0026quot;\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;p3\u0026quot;\u0026gt;\u0026lt;span class=\u0026quot;s1\u0026quot;\u0026gt; • • \u0026lt;/span\u0026gt;Nice to have: Databricks Certification\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2745\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;Benefits\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3007\u0026quot;\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3078\u0026quot;\u0026gt;401(k) Plan\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3093\u0026quot;\u0026gt;Equity awards\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3110\u0026quot;\u0026gt;Flexible time off\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3131\u0026quot;\u0026gt;Paid parental leave\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3154\u0026quot;\u0026gt;Family Planning\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3173\u0026quot;\u0026gt;Gym reimbursement\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3194\u0026quot;\u0026gt;Annual personal development fund\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3230\u0026quot;\u0026gt;Employee Assistance Program (EAP)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056380002,"name":"Remote - North Carolina","location":"Remote - North Carolina","child_ids":[],"parent_id":4033542002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8417656002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6362098002,"location":{"name":"Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8417656002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ327R52","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-02-12T15:17:27-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Location: Houston, TX\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location are encouraged for this role, candidates in other Texas locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;REQ ID -FEQ327R52\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your work with customers will include partnering with hands-on resources.\u0026amp;nbsp; You will build proof-of-concepts and demonstrate Databricks\u0026#39; products, and you need to be technical and understand the relevance and application of ML \u0026amp;amp; AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML \u0026amp;amp; AI\u0026#39;s relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, with a clear understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain your peers\u0026#39; respect through your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building relationships with executives and influencers, both internally and with customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point of view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical experience in data engineering, cloud data warehousing, and/or data science\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming expertise in Python, R, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience practicing live/vibe coding sessions with stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8537033002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370193002,"location":{"name":"Queensland, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8537033002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ427R64","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-05-05T23:35:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ427R64\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4616\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location: Brisbane\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4038814002,"name":"Western Australia, Australia","location":"Western Australia, Australia","child_ids":[],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8632383002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447629002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8632383002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ327R608","title":"Sr. Solutions Architect","company_name":"Databricks","first_published":"2026-07-21T01:01:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Locations:\u0026amp;nbsp; NY, NJ, OH, MI, IN\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;REQ ID - FEQ327R608\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056373002,"name":"Remote - Michigan","location":"Remote - Michigan","child_ids":[],"parent_id":4056372002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585089002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429102002,"location":{"name":"New Jersey; New York City, New York; Northeast - United States; Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8585089002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R298","title":"Sr. Solutions Architect - Agencies ","company_name":"Databricks","first_published":"2026-06-10T16:00:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R298\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;content\u0026quot; class=\u0026quot;highlighter-context page view\u0026quot; data-inline-comments-target=\u0026quot;true\u0026quot; data-testid=\u0026quot;page-content-only\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;_19pkidpf _2hwx1wug _otyridpf _18u01wug _1bsb1osq\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;main-content\u0026quot; class=\u0026quot;wiki-content css-kkte5r e5xcnr80\u0026quot; data-testid=\u0026quot;pageContentRendererTestId\u0026quot; data-test-appearance=\u0026quot;full-page\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;renderer-overrides\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ak-renderer-wrapper is-full-page cc-1jke4yk\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-s3qfy\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ak-renderer-document\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-fh1tlx\u0026quot; data-testid=\u0026quot;expand-container-expand-expand-title-4\u0026quot; data-node-type=\u0026quot;expand\u0026quot; data-title=\u0026quot;Senior Solutions Architect (L6)\u0026quot; data-expanded=\u0026quot;true\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-4r0ust\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;expand-content-wrapper\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-1jke4yk\u0026quot;\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of customer-facing technical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,500 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8541221002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6411199002,"location":{"name":"Remote - California; Remote - Oregon; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8541221002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ327R179","title":"Sr. Solutions Architect - AI Natives Business","company_name":"Databricks","first_published":"2026-05-18T17:11:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As a Solutions Architect on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with your fellow Solutions Architects, using your skills to support each other and our users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in and debugging Python and SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (\u0026lt;em\u0026gt;Ex: pandas, scikit-learn, PyTorch, Tensorflow\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Location: Remote (Pacific Time preferred; Mountain Time considered).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.\u0026amp;nbsp; We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8615045002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440731002,"location":{"name":"Nevada; Remote - California; Remote - Colorado; Remote - Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8615045002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ427R63","title":"Sr. Solutions Architect - Digital Native Business, Strategics","company_name":"Databricks","first_published":"2026-07-22T13:45:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data \u0026amp;amp; AI landscape by working with the most sophisticated data engineering and data science teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. You will also help customers build solutions that integrate with cloud services, home grown tools, and other 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as strategic technical advisor to customers to help them drive business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in and debugging Python and SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (\u0026lt;em\u0026gt;Ex: pandas, scikit-learn, PyTorch, Tensorflow\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Available to travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Location: Remote (Pacific Time preferred; Mountain Time considered).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.\u0026amp;nbsp; We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8567976002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422210002,"location":{"name":"Georgia; Massachusetts; New York; North Carolina; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8567976002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R222","title":"Sr. Solutions Architect - Financial Services (Fintech / Data Providers) ","company_name":"Databricks","first_published":"2026-07-22T10:10:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R222\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present reference architectures, how-tos, and demonstrate applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to meet with customers in your territory\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Data Warehousing technologies (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476403002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6385768002,"location":{"name":"Remote - Georgia; Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8476403002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"FEQ227R233","title":"Sr. Solutions Architect - Global Telecommunications ","company_name":"Databricks","first_published":"2026-03-31T13:20:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;FEQ227R233\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8189\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033544002,"name":"New Jersey","location":"New Jersey","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568025002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422235002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568025002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R246","title":"Sr. Solutions Architect (Lakebase)","company_name":"Databricks","first_published":"2026-06-11T05:26:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Req: FEQ327R246\u0026lt;br\u0026gt;Location: Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The\u0026amp;nbsp;\u0026lt;strong\u0026gt;Solutions Architect (Lakebase)\u0026lt;/strong\u0026gt; team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.\u0026amp;nbsp; Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position \u0026lt;em\u0026gt;in-depth\u0026lt;/em\u0026gt; the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.\u0026amp;nbsp; They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Lakebase product-line requires the following core technical competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As a trusted advisor,\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;serve as an expert Solutions Architect and \u0026quot;champion,\u0026quot; building technical credibility with stakeholders to drive product adoption and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies \u0026amp;amp; Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R\u0026amp;amp;D teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in programming, debugging, and problem-solving using SQL and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of driving complex projects to completion in fast-paced, customer-facing environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent in Japanese with a professional working proficiency in English\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8641242002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6451088002,"location":{"name":"Madrid"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Spain -  Databricks Spain S.L.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8641242002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ427R342","title":"Sr. Solutions Architect Madrid Spain","company_name":"Databricks","first_published":"2026-07-21T15:09:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ: FEQ427R342\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Data \u0026amp;amp; Intelligence Platform can help customers solve their complex data challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout Spain, providing technical and business value to Databricks customers in collaboration with Account Executives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow your knowledge and expertise to the level of a technical and/or industry specialist.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop customer relationships and build internal partnerships with account executives and teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mandatory requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility to travel (up to 30% as required for customer meetings, events and trainings).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business proficiency in both Spanish and English required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3230\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4021788002,"name":"Remote - Spain","location":"Remote - Spain","child_ids":[],"parent_id":4083056002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8583085002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428324002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8583085002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ327R277","title":"Sr. Solutions Architect - Manufacturing","company_name":"Databricks","first_published":"2026-06-12T02:29:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID - FEQ327R277\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Wisconsin, Minnesota\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in various verticals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033551002,"name":"Wisconsin","location":"Wisconsin","child_ids":[],"parent_id":4056360002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8458028002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6378574002,"location":{"name":"Northeast - United States; Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8458028002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ327R50","title":"Sr. Solutions Architect - Media ","company_name":"Databricks","first_published":"2026-04-24T13:04:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ227R50\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;content\u0026quot; class=\u0026quot;highlighter-context page view\u0026quot; data-inline-comments-target=\u0026quot;true\u0026quot; data-testid=\u0026quot;page-content-only\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;_19pkidpf _2hwx1wug _otyridpf _18u01wug _1bsb1osq\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div id=\u0026quot;main-content\u0026quot; class=\u0026quot;wiki-content css-kkte5r e5xcnr80\u0026quot; data-testid=\u0026quot;pageContentRendererTestId\u0026quot; data-test-appearance=\u0026quot;full-page\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;renderer-overrides\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ak-renderer-wrapper is-full-page cc-1jke4yk\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-s3qfy\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ak-renderer-document\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-fh1tlx\u0026quot; data-testid=\u0026quot;expand-container-expand-expand-title-4\u0026quot; data-node-type=\u0026quot;expand\u0026quot; data-title=\u0026quot;Senior Solutions Architect (L6)\u0026quot; data-expanded=\u0026quot;true\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-4r0ust\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;expand-content-wrapper\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;cc-1jke4yk\u0026quot;\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;7186\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8192\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8222\u0026quot;\u0026gt;Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8335\u0026quot;\u0026gt;Coach junior Solutions Architects and teams on use case prioritization and building technical champions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8443\u0026quot;\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8653\u0026quot;\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;8881\u0026quot;\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9029\u0026quot;\u0026gt;Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9212\u0026quot;\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of customer-facing technical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9233\u0026quot;\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9343\u0026quot;\u0026gt;Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9497\u0026quot;\u0026gt;Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9636\u0026quot;\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s).\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;9719\u0026quot;\u0026gt;Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8522046002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6403888002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8522046002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"FEQ227R360","title":"Sr. Solutions Architect - Oil, Gas, and Energy","company_name":"Databricks","first_published":"2026-06-29T00:24:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID - FEQ227R360\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: Houston TX\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important Oil, Gas, and Energy accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Oil, Gas, and Energy space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You provide structured mentorship for other team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain the respect of your peers based on your experience, insight, and contributions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8198484002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6249281002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8198484002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"FEQ127R5","title":"Sr. Solutions Architect - Public Sector (Federal Civilian)","company_name":"Databricks","first_published":"2025-10-06T21:18:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ127R5\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;US Citizen\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056375002,"name":"Remote - Washington D.C.","location":"Remote - Washington D.C.","child_ids":[],"parent_id":4033536002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8417705002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6362130002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8417705002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ127R326","title":"Sr. Solutions Architect - Public Sector (Hunter) ","company_name":"Databricks","first_published":"2026-03-11T10:12:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ127R326\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;US Citizen\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8353049002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6335619002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8353049002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"FEQ426R760","title":"Sr. Solutions Architect - Public Sector (SLED)","company_name":"Databricks","first_published":"2026-01-06T10:03:24-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ426R760\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered in the PST/MST time zone\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;US Citizen\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8397493002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352474002,"location":{"name":"Illinois; Michigan; Minnesota"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8397493002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ427R139","title":"Sr. Solutions Architect - Public Sector (SLED) ","company_name":"Databricks","first_published":"2026-03-16T18:12:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ427R139\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;US Citizen\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6456675002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5227304002,"location":{"name":"West Coast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":6456675002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-256","title":"Sr. Solutions Architect, Retail","company_name":"Databricks","first_published":"2022-10-24T14:52:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience working in very large (\u0026amp;gt; $1m ARR), from the Retail and CPG-related space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years working in a pre-sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science, and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8221491002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5227304002,"location":{"name":"Northeast - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8221491002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-256","title":"Sr. Solutions Architect, Retail ","company_name":"Databricks","first_published":"2025-10-21T17:02:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the technical strategy in the account, with a close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working in very large (\u0026amp;gt; $1m ARR), from the Retail and CPG-related space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years working in a pre-sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science, and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala, or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;LI #Remote\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8559344002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6418982002,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8559344002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"FEQ327R203","title":"Sr. Solutions Architect (Utilities/Energy)","company_name":"Databricks","first_published":"2026-06-29T02:02:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;REQ ID: FEQ327R203\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Tokyo, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a \u0026#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Databricks\u0026#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will be working with our\u0026amp;nbsp;\u0026lt;strong\u0026gt;Utilities customers\u0026lt;/strong\u0026gt;, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands-on proof points that accelerate confidence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Up to 30-40% travel to Tokyo offices and customer sites\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business professional fluency in Japanese is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business-level English proficiency is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8368205002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340818002,"location":{"name":"Finland"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8368205002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"FEQ327R2","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-02-24T08:54:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ# \u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;FEQ327R2\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Code in a core programming language such as\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;Python or SQL\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Experience diving deeper into solution architecture\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;and Data Engineering\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8450209002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6375462002,"location":{"name":"Central - United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8450209002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ327R16","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-03-25T18:23:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID FEQ327R16\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location:\u0026amp;nbsp; Central US\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the greater region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You help guide your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You work with your sales team and technical peers to drive business outcomes for our clients.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud (Azure, AWS, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks, Snowflake, AWS, Azure, or GCP Certification.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056369002,"name":"Remote - Illinois","location":"Remote - Illinois","child_ids":[],"parent_id":4056368002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437014002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370196002,"location":{"name":"Auckland, New Zealand"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks New Zealand Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437014002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"FEQ327R93","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-03-21T00:24:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;2121\u0026quot;\u0026gt;FEQ327R93\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2121\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3123\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3126\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3156\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3354\u0026quot;\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3525\u0026quot;\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3643\u0026quot;\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3721\u0026quot;\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3817\u0026quot;\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3950\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;3971\u0026quot;\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;4139\u0026quot;\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;4319\u0026quot;\u0026gt;Code in a core programming language such as Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;4390\u0026quot;\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;4547\u0026quot;\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4040880002,"name":"Auckland, New Zealand","location":"Auckland, New Zealand","child_ids":[],"parent_id":4040879002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8609866002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438711002,"location":{"name":"Stockholm, Sweden"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Sweden AB","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8609866002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ427R34","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-06-29T05:54:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ# \u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;FEQ427R34\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Code in a core programming language such as\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;Python\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;span class=\u0026quot;im\u0026quot;\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/span\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;Experience diving deeper into solution architecture\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #ff0000;\u0026quot;\u0026gt;and Data Engineering\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;color: #292a2e;\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059151002,"name":"Stockholm, Sweden","location":"Stockholm, Sweden","child_ids":[],"parent_id":4039463002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8608609002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6438210002,"location":{"name":"Berlin, Germany; Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8608609002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ427R161","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-06-26T06:45:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;FEQ427R161\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2121\u0026quot;\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3126\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3156\u0026quot;\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3354\u0026quot;\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3525\u0026quot;\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3643\u0026quot;\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3721\u0026quot;\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3817\u0026quot;\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3950\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;3971\u0026quot;\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4139\u0026quot;\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4319\u0026quot;\u0026gt;Code in a core programming language such as Python, Java, or Scala.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4390\u0026quot;\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;4547\u0026quot;\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8593371002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6432347002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8593371002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R319","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-06-17T01:23:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;REQ ID - FEQ427R319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location:\u0026amp;nbsp; Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the greater region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, with a close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You work with your sales team and technical peers to drive business outcomes for our clients\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud (Azure \u0026amp;amp; AWS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks, Snowflake, AWS or Azure Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$192,050 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8622166002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443336002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8622166002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R555","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-07-16T00:46:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Req: FEQ327R555\u0026lt;br\u0026gt;Location: Singapore\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code in a core programming language such as Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8589187002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6430553002,"location":{"name":"Sao Paulo, Brazil"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Brazil LTDA","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8589187002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R268","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-07-22T10:06:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers\u0026#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer\u0026#39;s needs and build valuable customer engagements.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Big data engineering (Ex: Spark, Hadoop, Kafka)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Warehousing \u0026amp;amp; ETL (Ex: SQL, OLTP/OLAP/DSS)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experience translating a customer\u0026#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Fluent in SQL and database technology.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Travel to customers in your region up to 30% of the time.\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4059191002,"name":"Sao Paulo, Brazil","location":"Sao Paulo, Brazil","child_ids":[],"parent_id":4034119002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8415130002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6361279002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8415130002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ227R18","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-02-17T22:38:27-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;FEQ227R18\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers\u0026#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer\u0026#39;s needs and build valuable customer engagements and report to the Field Engineering Manager.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● 3+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Big data engineering (Ex: Spark, Hadoop, Kafka)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Warehousing \u0026amp;amp; ETL (Ex: SQL, OLTP/OLAP/DSS)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experience translating a customer\u0026#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Fluent in SQL and database technology.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Travel to customers in your region up to 30% of the time.\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105411002,"name":"Field Engineering - FE Direct Emerging","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8606312002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437428002,"location":{"name":"Mexico City"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Mexico","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8606312002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"FEQ327R107","title":"Sr. Solutions Engineer","company_name":"Databricks","first_published":"2026-07-22T10:01:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers\u0026#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer\u0026#39;s needs and build valuable customer engagements and report to the Field Engineering Manager.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Big data engineering (Ex: Spark, Hadoop, Kafka)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Warehousing \u0026amp;amp; ETL (Ex: SQL, OLTP/OLAP/DSS)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experience translating a customer\u0026#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Fluent in SQL and database technology.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Travel to customers in your region up to 50% of the time.\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4097831002,"name":"Mexico City","location":"Mexico City","child_ids":[],"parent_id":4094353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8629113002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6446226002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8629113002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ327R527","title":"Sr. Solutions Engineer ","company_name":"Databricks","first_published":"2026-07-13T15:53:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div\u0026gt;REQ ID FEQ327R527\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers\u0026#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer\u0026#39;s needs and build valuable customer engagements and report to the Field Engineering Manager.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Big data engineering (Ex: Spark, Hadoop, Kafka)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Warehousing \u0026amp;amp; ETL (Ex: SQL, OLTP/OLAP/DSS)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experience translating a customer\u0026#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Fluent in SQL and database technology.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;● Travel to customers in your region up to 30% of the time.\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105409002,"name":"Field Engineering - FE Direct Enterprise","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569631002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422910002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8569631002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R207","title":"Sr. Solutions Engineer - FSI","company_name":"Databricks","first_published":"2026-07-08T19:25:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Location:\u0026amp;nbsp; Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;REQ ID - FEQ327R207\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the greater region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You work with your sales team and technical peers to drive business outcomes for our clients\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud (Azure \u0026amp;amp; AWS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks, Snowflake, AWS or Azure Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$192,050 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8623640002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443931002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8623640002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"FEQ327R581","title":"Sr. Solutions Engineer (Indonesia)","company_name":"Databricks","first_published":"2026-07-08T06:21:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R581\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You\u0026#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a Big Data Analytics advisor on aspects of architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to independently deliver a technical proposition, identify customers\u0026#39; pain-points, and explain important areas for business value to develop a trusted advisor skillset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code in a core programming language such as Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience diving deeper into solution architecture and design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proficiency in the Bahasa Indonesian language is required as this role serves clients based in Indonesia and involves direct customer communications in the Bahasa Indonesian language.\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8417654002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6362097002,"location":{"name":"Boston, Massachusetts"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8417654002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ327R20","title":"Sr. Solutions Engineer - MFG","company_name":"Databricks","first_published":"2026-04-01T00:41:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Location:\u0026amp;nbsp; Northeast, US\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;REQ ID - FEQ327R20\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the greater region.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You work with multiple clients as the main technical voice for Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You implement the technical strategy in the account, in close understanding of the strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You build a movement of technical champions within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You align technical strategies around Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You work with your sales team and technical peers to drive business outcomes for our clients\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency at establishing virtual teams, and leading them to ultimate success within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working very large (\u0026amp;gt; $1m ARR), global accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Form relationships with executives and influencers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present a convincing point-of-view to important decision-makers that leads them down a path of success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud (Azure \u0026amp;amp; AWS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks, Snowflake, AWS or Azure Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056369002,"name":"Remote - Illinois","location":"Remote - Illinois","child_ids":[],"parent_id":4056368002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8437030002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370204002,"location":{"name":"Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Japan K.K.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8437030002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"FEQ427R296","title":"Sr. Solutions Engineer (Pre-sales) - Kansai Region","company_name":"Databricks","first_published":"2026-07-11T08:57:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Req ID:\u0026lt;/strong\u0026gt; FEQ427R296\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: Osaka, Japan\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Pre‑sales Sr. Solutions Engineer (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will be a Big Data Analytics expert on aspects of architecture and design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead your prospects through evaluating and adopting Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support your customers by authoring reference architectures, how-tos, and demo applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate Databricks with 3rd-party applications to support customer architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with the technical community by leading workshops, seminars and meet-ups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience demonstrating technical concepts, including presenting and whiteboarding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with Enterprise Accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Written and verbal fluency in Japanese\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4029277002,"name":"Tokyo, Japan","location":"Tokyo, Japan","child_ids":[],"parent_id":4033856002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8584983002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429055002,"location":{"name":"McLean, Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8584983002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"FEQ427R313","title":"Sr. Solutions Engineer - Public Sector (Defense Industrial Base)","company_name":"Databricks","first_published":"2026-06-11T19:17:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ427R313\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (\u0026lt;em\u0026gt;Ex: pandas, scikit-learn, HPO\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Secret security clearance or willingness to obtain one\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8415025002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6361240002,"location":{"name":"Maryland; Virginia; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Federal, LLC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8415025002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"FEQ327R1","title":"Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)","company_name":"Databricks","first_published":"2026-05-11T10:01:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;FEQ327R1\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the sales team to help customers understand how Databricks can help solve their business problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide technical leadership for customers to evaluate and adopt Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and present references architectures, how-tos, and demo applications for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel to customers in your region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a customer-facing pre-sales, technical architecture, or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and architecting distributed data systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting Public Sector clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built solutions with public cloud providers such as AWS, Azure, or GCP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Engineering technologies (\u0026lt;em\u0026gt;Ex: Spark, Hadoop, Kafka\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing (\u0026lt;em\u0026gt;Ex: SQL, OLTP/OLAP/DSS\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science and Machine Learning technologies (\u0026lt;em\u0026gt;Ex: pandas, scikit-learn, HPO\u0026lt;/em\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Secret security clearance or willingness to obtain one\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7507778002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5227304002,"location":{"name":"Illinois"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":7507778002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-256","title":"Sr. Solutions Engineer, Retail - CPG","company_name":"Databricks","first_published":"2024-06-21T11:28:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-256\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML \u0026amp;amp; AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks\u0026#39; products, you need to be technical and must understand the relevance and application of ML \u0026amp;amp; AI within a range of use cases important to the target accounts in the Retail and CPG space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will work with 1-5 clients as the main technical voice for Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the technical strategy in the account, in close understanding of the strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a movement of technical champions within the account\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align technical strategies around Databricks solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will provide structured mentorship for other team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working very large (\u0026amp;gt; $1m ARR), from the Retail and CPG related space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years working in a pre sales capacity or supporting sales activity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical in big data, data science and cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An ability in data-driven business transformation, and driving change with data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and extend production data systems to evolve with complex customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production programming experience in Python, R, Scala or Java\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Databricks Certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;#LI Remote\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4069106002,"name":"Field Engineering","child_ids":[4001270002,4103441002,4105420002,4105211002,4105212002,4105213002,4105214002,4105215002,4105216002,4105217002,4105409002,4105410002,4105411002,4105412002,4105413002,4105219002,4077535002,4077536002,4105453002,4105454002,4105457002,4105458002,4076791002,4002597002,4105462002,4070290002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8642617002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6451639002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8642617002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"FEQ427R340","title":"Sr. Specialist Solutions Architect","company_name":"Databricks","first_published":"2026-07-24T13:00:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;ReqID:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; FEQ427R340\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Location:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;London\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Skills: \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;Data Science, Machine Learning, AI, LLM, GenAI\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Specialist Solutions Architect (ML \u0026amp;amp; AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI\u0026amp;nbsp; thought leader.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architecting Workloads:\u0026lt;/strong\u0026gt; Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;GenAI Leadership:\u0026lt;/strong\u0026gt; Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Influence:\u0026lt;/strong\u0026gt; Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Thought Leadership:\u0026lt;/strong\u0026gt; Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; 10+ years of hands-on industry DS/ML experience, with a focus on either:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience working with Distributed Spark based systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data engineering concepts or a good understanding of data engineering concepts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication:\u0026lt;/strong\u0026gt; Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Core Traits:\u0026lt;/strong\u0026gt; Passion for lifelong learning, collaboration, and driving business value through AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education:\u0026lt;/strong\u0026gt; Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can meet expectations for technical training and role-specific outcomes within 3 months of hire\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can travel up to 30% when needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105217002,"name":"Field Engineering - Other","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8493787002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6392709002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8493787002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"FEQ327R142","title":"Sr. Specialist Solutions Architect - Builder Team","company_name":"Databricks","first_published":"2026-04-14T01:38:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ327R142\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Specialist Solutions Architect – Builder Team, this role designs, builds, maintains, and supports projects that integrate and extend the Databricks platform to accelerate data and AI use cases. The position contributes to the roadmap for specific priority projects, helps evaluate partner solutions, and delivers high-quality, production-ready implementations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role also supports the infrastructure used to maintain Databricks Labs, enabling field engineering teams to contribute to tooling efforts more effectively. The ideal candidate brings strong customer empathy, a product mindset, and the ability to translate tooling needs into robust backend systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, with a focus on scalable and reliable backend services and automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to clarify requirements, propose technical approaches, and deliver projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the design and implementation of small to medium-sized projects end to end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for defensive programming and building highly scalable and reliable software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105458002,"name":" Field Engineering - Indirect","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8568122002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6422279002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8568122002,"updated_at":"2026-07-24T19:29:02-04:00","requisition_id":"FEQ327R204","title":"Sr. Specialist Solutions Architect - Data Engineering \u0026 Warehousing","company_name":"Databricks","first_published":"2026-06-26T20:14:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;FEQ327R204\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;3\u0026quot;\u0026gt;As a Sr. \u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;Specialist Solutions Architect (SSA) - Data Engineering and Warehousing\u0026lt;/span\u0026gt;, you will guide customers through cloud data engineering transformations across a wide variety of use cases.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;4\u0026quot;\u0026gt;In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide tutorials and training to improve community adoption (including hackathons and conference presentations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the Databricks Community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;8+ years of experience in a technical role with deep expertise across the following areas:\n\u0026lt;ul data-path-to-node=\u0026quot;5,0,1\u0026quot;\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP \u0026amp;amp; OLTP workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Deep expertise across multiple core data engineering domains, including:\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Production programming experience in SQL and at least one of the following: Python, Scala, or Java.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Degree or Equivalent: Bachelor\u0026#39;s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;3+ years of customer-facing experience in a pre-sales or post-sales technical role.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Ability to meet expectations for technical training and role-specific milestones within 6 months of hire.\u0026lt;/li\u0026gt;\n\u0026lt;li data-path-to-node=\u0026quot;5,0,0\u0026quot;\u0026gt;Willingness to travel up to 30% as needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$219,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$301,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4105410002,"name":"Field Engineering - FE Direct Regulated","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4056376002,"name":"Remote - Massachusetts","location":"Remote - Massachusetts","child_ids":[],"parent_id":4033875002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8555674002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6417406002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8555674002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"CSQ327R198","title":"Sr. Staff Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-07-09T03:15:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;CSQ327R198\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reusable Assets \u0026amp;amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration \u0026amp;amp; Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220902002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6257909002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8220902002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1478","title":"Sr. Staff Fullstack Engineer, Agentic Applications","company_name":"Databricks","first_published":"2025-10-29T15:56:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1478\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business.\u0026amp;nbsp; Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers.\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define the technical strategy and roadmap for building in-house solutions for critical internal workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of software engineering experience, with a strong track record of technical leadership and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and building end-to-end, full-stack cloud-native applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer obsession and product engineering mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to influence technical and business stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of raising the engineering quality bar, focus on execution and operational rigor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for the data intelligence space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Why Join Us?\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on high-impact, high-visibility initiatives that directly contribute to Databricks\u0026#39; growth trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor a talented team of engineers solving challenging, customer-centric problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you are passionate about building AI-powered solutions for running the business, we would love to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7823561002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6084900002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7823561002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ126R106","title":"Sr. Staff Production Engineer - Data Platform","company_name":"Databricks","first_published":"2025-10-09T20:35:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ126R106\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our Data Platform organization is the backbone of the world’s leading Data and AI platform. We operate a massive, multi-cloud (AWS, Azure, GCP), multi-AI, multi-region stack that powers thousands of the world’s most demanding workloads. As we move into the era of Agentic AI, we are not just scaling infrastructure; we are building a new generation of \u0026lt;strong\u0026gt;Agentic Observability and Reliability\u0026lt;/strong\u0026gt; systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Staff Production Engineer, you will lead the strategic vision for the operational stability of our internal \u0026quot;Databricks-on-Databricks\u0026quot; environment. You will transition our infrastructure from traditional SRE models toward an agent-driven, self-healing architecture, ensuring that our platform—and the agents operating within it—remain rock-solid for mission-critical customer workloads.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architecting Agentic Reliability:\u0026lt;/strong\u0026gt; Define and drive the design of future \u0026quot;self-healing\u0026quot; infrastructure at scale where AI agents proactively detect, diagnose, and remediate production incidents before they impact customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Platform Optimization:\u0026lt;/strong\u0026gt; Own the operational integrity of the Data Platform that powers our internal AI models, ensuring 99.99% availability for the compute, storage, and control plane services used by thousands of Databricks engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High-Scale Operational Excellence:\u0026lt;/strong\u0026gt; Establish the next generation of \u0026quot;Change Safety\u0026quot; protocols, utilizing automation and agentic guardrails to manage complex deployments across 100+ global regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Leadership in Chaos \u0026amp;amp; Scale:\u0026lt;/strong\u0026gt; Serve as a technical bar-raiser for the team, evangelizing modern SRE practices (including Chaos Engineering) to navigate the structural transformation of the industry toward agentic, autonomous systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Depth:\u0026lt;/strong\u0026gt; 10+ years of production-level experience as a Software Engineer or SRE in highly distributed, multi-cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineering Persona:\u0026lt;/strong\u0026gt; You write code to solve operational problems. You are not a traditional sys-admin; you build frameworks, automation, and tooling (Scala, Java, Go, or Python) to eliminate toil.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platform \u0026amp;amp; AI Mindset:\u0026lt;/strong\u0026gt; Deep understanding of distributed data platforms and a passion for leveraging AI/ML to revolutionize infrastructure management. Familiarity with LLM infrastructure, training/inference pipelines, or agentic frameworks is a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Grit:\u0026lt;/strong\u0026gt; Proven ability to remain calm and decisive under pressure. You have navigated large-scale distributed systems through hyper-growth and have a track record of driving incident-to-roadmap loops.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Influence:\u0026lt;/strong\u0026gt; Experience building long-range technical roadmaps and driving cross-functional alignment. You are comfortable challenging senior leadership with data-driven insights.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8519396002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6394877002,"location":{"name":"Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8519396002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1605","title":"Sr Staff Production Engineer- Public Sector","company_name":"Databricks","first_published":"2026-04-22T13:20:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;P-1605\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don’t just use the cloud; we are \u0026quot;cloud maximalists.\u0026quot; Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the \u0026quot;sovereign layer\u0026quot; of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Security-Focused Cloud Operations\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, automate, and operate the \u0026lt;strong\u0026gt;IAM, account/subscription, and project lifecycle\u0026lt;/strong\u0026gt; across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review, implement, and continuously improve \u0026lt;strong\u0026gt;cloud identity and access policies\u0026lt;/strong\u0026gt; (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Production Engineering \u0026amp;amp; Automation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain \u0026lt;strong\u0026gt;reliable, observable automation and tooling\u0026lt;/strong\u0026gt; to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Treat operational and security issues as \u0026lt;strong\u0026gt;software problems\u0026lt;/strong\u0026gt;: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Security Data Pipelines \u0026amp;amp; Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and improve \u0026lt;strong\u0026gt;security and audit logging data pipelines\u0026lt;/strong\u0026gt; from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Security, Compliance, and Audit teams to provide \u0026lt;strong\u0026gt;evidence, clarifications, and policy updates\u0026lt;/strong\u0026gt; that keep our environments aligned with evolving standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Regulated \u0026amp;amp; Specialized Environments\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Operate and improve \u0026lt;strong\u0026gt;specialized, highly regulated environments\u0026lt;/strong\u0026gt; (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure high availability and resiliency for critical security and access infrastructure across these environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;On-Call \u0026amp;amp; Incident Response\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Participate in a \u0026lt;strong\u0026gt;24x7 on-call rotation\u0026lt;/strong\u0026gt; for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Required:\u0026lt;/strong\u0026gt; Candidates must hold a \u0026lt;strong data-path-to-node=\u0026quot;6,0\u0026quot; data-index-in-node=\u0026quot;33\u0026quot;\u0026gt;current TS/SCI clearance\u0026lt;/strong\u0026gt; (either active or currently held in an editable/re-activatable status within the 2-year window).\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt; Possession of a current \u0026lt;strong\u0026gt;polygraph\u0026lt;/strong\u0026gt; (Counterintelligence or Full Scope) is highly desired and considered a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education- \u0026lt;/strong\u0026gt;BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience\u0026lt;/strong\u0026gt;: 12+ years of experience, including leading the strategy for \u0026lt;strong\u0026gt;cloud IAM, account architecture, or security-critical infrastructure\u0026lt;/strong\u0026gt; across multiple environments or business units.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure Expertise\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on experience with at least one major cloud provider (\u0026lt;strong\u0026gt;AWS, Azure, or GCP\u0026lt;/strong\u0026gt;) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in \u0026lt;strong\u0026gt;Infrastructure-as-Code and automation\u0026lt;/strong\u0026gt; (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security \u0026amp;amp; Compliance Mindset\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience working in or with \u0026lt;strong\u0026gt;security-sensitive or regulated environments\u0026lt;/strong\u0026gt; (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;access review processes, policy baselines, and audit evidence\u0026lt;/strong\u0026gt; for cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success running \u0026lt;strong\u0026gt;high-availability, security-critical services\u0026lt;/strong\u0026gt;, including on-call responsibilities and incident management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;Okta, Opal, or similar identity/access tooling\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background operating secure admin workstations (SAW) or comparable hardened access patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience migrating cloud accounts or subscriptions during \u0026lt;strong\u0026gt;M\u0026amp;amp;A or large-scale reorganizations\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$195,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$268,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4039466002,"name":"Virginia","location":"Virginia","child_ids":[4029647002,4032564002,4036963002,4056379002],"parent_id":4056357002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8524420002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6311484002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8524420002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1495","title":"Sr Staff Product Operations Manager","company_name":"Databricks","first_published":"2026-04-27T00:42:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;P-1495\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-path-to-node=\u0026quot;3\u0026quot;\u0026gt;About the Role\u0026lt;/h2\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;4\u0026quot;\u0026gt;Databricks is seeking a \u0026lt;strong data-path-to-node=\u0026quot;4\u0026quot; data-index-in-node=\u0026quot;24\u0026quot;\u0026gt;Senior Staff Product Operations Manager\u0026lt;/strong\u0026gt; to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;In this capacity, you will move beyond the management of existing processes to lead the creation of a formal \u0026lt;strong data-path-to-node=\u0026quot;5\u0026quot; data-index-in-node=\u0026quot;109\u0026quot;\u0026gt;Operational Association\u0026lt;/strong\u0026gt;. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the \u0026quot;gray space\u0026quot; between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-path-to-node=\u0026quot;6\u0026quot;\u0026gt;Impact\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-path-to-node=\u0026quot;7\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,0,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Operational Orchestration:\u0026lt;/strong\u0026gt; Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,1,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Investment Intelligence:\u0026lt;/strong\u0026gt; Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,2,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,2,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Synthesis of Ambiguity:\u0026lt;/strong\u0026gt; Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating \u0026quot;engineering velocity\u0026quot; into \u0026quot;market impact,\u0026quot; providing the clarity necessary for high-stakes decision-making.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,3,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,3,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Systems Transformation:\u0026lt;/strong\u0026gt; Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,4,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,4,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Strategic Connective Tissue:\u0026lt;/strong\u0026gt; Serve as the authoritative bridge between the \u0026quot;How\u0026quot; of technical execution and the \u0026quot;Why\u0026quot; of business value, ensuring a unified language of success across our most senior stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Key Responsibilities:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What We Look For:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;9,0,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Professional Experience:\u0026lt;/strong\u0026gt; Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,1,0\u0026quot;\u0026gt;Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;MBA \u0026lt;strong\u0026gt;i\u0026lt;/strong\u0026gt;s highly preferred.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,2,0\u0026quot;\u0026gt;Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,3,0\u0026quot;\u0026gt;Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,4,0\u0026quot;\u0026gt;Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,5,0\u0026quot;\u0026gt;Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Nice to Have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with Databricks tools, especially for extract/transform/load functions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience working on Support Operations for SaaS based companies.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$199,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$274,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8524422002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6311484002,"location":{"name":"Bellevue, Washington; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8524422002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1495","title":"Sr Staff Product Operations Manager","company_name":"Databricks","first_published":"2026-04-27T00:45:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;P-1495\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-path-to-node=\u0026quot;3\u0026quot;\u0026gt;About the Role\u0026lt;/h2\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;4\u0026quot;\u0026gt;Databricks is seeking a \u0026lt;strong data-path-to-node=\u0026quot;4\u0026quot; data-index-in-node=\u0026quot;24\u0026quot;\u0026gt;Senior Staff Product Operations Manager\u0026lt;/strong\u0026gt; to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;In this capacity, you will move beyond the management of existing processes to lead the creation of a formal \u0026lt;strong data-path-to-node=\u0026quot;5\u0026quot; data-index-in-node=\u0026quot;109\u0026quot;\u0026gt;Operational Association\u0026lt;/strong\u0026gt;. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the \u0026quot;gray space\u0026quot; between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-path-to-node=\u0026quot;6\u0026quot;\u0026gt;Impact\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-path-to-node=\u0026quot;7\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,0,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Operational Orchestration:\u0026lt;/strong\u0026gt; Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,1,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Investment Intelligence:\u0026lt;/strong\u0026gt; Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,2,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,2,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Synthesis of Ambiguity:\u0026lt;/strong\u0026gt; Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating \u0026quot;engineering velocity\u0026quot; into \u0026quot;market impact,\u0026quot; providing the clarity necessary for high-stakes decision-making.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,3,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,3,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Systems Transformation:\u0026lt;/strong\u0026gt; Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;7,4,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7,4,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Strategic Connective Tissue:\u0026lt;/strong\u0026gt; Serve as the authoritative bridge between the \u0026quot;How\u0026quot; of technical execution and the \u0026quot;Why\u0026quot; of business value, ensuring a unified language of success across our most senior stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Key Responsibilities:\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What We Look For:\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;9,0,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Professional Experience:\u0026lt;/strong\u0026gt; Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,1,0\u0026quot;\u0026gt;Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;MBA \u0026lt;strong\u0026gt;i\u0026lt;/strong\u0026gt;s highly preferred.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,2,0\u0026quot;\u0026gt;Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,3,0\u0026quot;\u0026gt;Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,4,0\u0026quot;\u0026gt;Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;9,5,0\u0026quot;\u0026gt;Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Nice to Have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with Databricks tools, especially for extract/transform/load functions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience working on Support Operations for SaaS based companies.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$179,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8026640002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6176204002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":8026640002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ326R106","title":"Sr. Staff Security Assurance Engineer ","company_name":"Databricks","first_published":"2026-06-10T18:59:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ326R106\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Staff Security Assurance Engineer within the Security Assurance Team, you will lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard of our customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;US Citizenship Required.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Project Outcomes:\u0026lt;/strong\u0026gt; Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, expanding Databricks’ reach across global markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Accelerate Execution:\u0026lt;/strong\u0026gt; Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Cross-Functional Decision Making:\u0026lt;/strong\u0026gt; Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, and Product teams to reach timely resolutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Optimize Delivery Methodologies:\u0026lt;/strong\u0026gt; Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Precision Program Management:\u0026lt;/strong\u0026gt; Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Strategic Partnerships:\u0026lt;/strong\u0026gt; Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders to ensure seamless alignment on security goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a professional with the following skills and practical experience in:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven Expertise:\u0026lt;/strong\u0026gt; 12 years of experience (with Bachelor’s degree or 8 years with advanced degree) in security and technical program/project management. Ideally, at a fast-paced, cloud-native organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Ownership:\u0026lt;/strong\u0026gt; Demonstrated success in leading high-stakes security compliance initiatives (e.g., FedRAMP, PCI, HIPAA) from inception to market.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Complexity Management:\u0026lt;/strong\u0026gt; Experience navigating projects with intricate technical dependencies, multiple stakeholders, and competing constraints with geo-distributed teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Presence:\u0026lt;/strong\u0026gt; Ability to influence and communicate effectively across the spectrum, from deep-dive technical discussions with engineers to high-level briefings for senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agility \u0026amp;amp; Continuous Learning:\u0026lt;/strong\u0026gt; A proven track record of rapidly mastering new processes, methodologies, technologies, and security frameworks to meet evolving business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication Excellence:\u0026lt;/strong\u0026gt; Superb verbal and written skills, with a knack for translating complex project data into clear, actionable insights and documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Educational Foundation:\u0026lt;/strong\u0026gt; Bachelor’s degree in Computer Science, Information Systems, or a related technical field (or equivalent practical experience).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7630152002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5934107002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7630152002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1174","title":"Sr Staff Software Engineer (Backend)","company_name":"Databricks","first_published":"2024-09-09T10:55:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;small\u0026gt;(P-1174)\u0026lt;/small\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a \u0026lt;strong\u0026gt;Senior Staff Software Engineer\u0026lt;/strong\u0026gt; for Databricks\u0026#39; Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Characteristics\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an executive engineering individual contributor at Databricks, you will have \u0026lt;strong\u0026gt;full ownership of the product or infrastructure direction\u0026lt;/strong\u0026gt; in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong influencer or driver in the organization’s roadmap and direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8555864002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5716038002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8555864002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1093","title":"Sr. Staff Software Engineer - Managed Tables ","company_name":"Databricks","first_published":"2026-05-18T22:03:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1093\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures and innovations to power storage layout solutions for the ML world\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The Impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and inter-operable architecture for Managed Tables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Introduce tools to allow greater automation and operability of services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and up-level engineers on the team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What We’re Looking For:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8285949002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6304772002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8285949002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"RDQ127R9","title":"Sr. Staff Software Engineer - Money Team","company_name":"Databricks","first_published":"2025-11-11T23:29:07-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;RDQ127R9\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with Data + AI to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Money team\u0026#39;s mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP \u0026amp;amp; Azure).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Staff Software Engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.\u0026amp;nbsp; By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified \u0026quot;sky computation\u0026quot; experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and manage the Money systems and services, commercializing all Databricks products and offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop innovative primitives that enable\u0026amp;nbsp; and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will become an expert at using the Databricks Data + AI tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;9+ years of experience building large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proactive approach and a passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$298,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4049331002,"name":"Bellevue, Washington","location":"Bellevue, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8462811002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6380371002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8462811002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"P-1533","title":"Sr.Staff Software Engineer- Network Platform","company_name":"Databricks","first_published":"2026-03-23T02:38:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1533\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an experienced \u0026lt;strong\u0026gt;Sr. Staff Software Engineer\u0026lt;/strong\u0026gt; with deep networking expertise to help shape the future of Databricks’ \u0026lt;strong\u0026gt;Networking Infrastructure\u0026lt;/strong\u0026gt;. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in \u0026lt;strong\u0026gt;defining the technical vision and architecture\u0026lt;/strong\u0026gt; for next-generation network connectivity \u0026amp;amp; observability services that will power \u0026amp;amp; manage \u0026lt;strong\u0026gt;millions of VMs across multiple clouds\u0026lt;/strong\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will \u0026lt;strong\u0026gt;own and drive the design of large-scale connectivity platforms\u0026lt;/strong\u0026gt; that form the backbone between Databricks’ \u0026lt;strong\u0026gt;control plane and compute plane\u0026lt;/strong\u0026gt;. These platforms are foundational to improving the \u0026lt;strong\u0026gt;scalability, reliability, and efficiency\u0026lt;/strong\u0026gt; of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will operate at an \u0026lt;strong\u0026gt;org-wide level\u0026lt;/strong\u0026gt;, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into \u0026lt;strong\u0026gt;durable, extensible networking systems\u0026lt;/strong\u0026gt;. This role requires both \u0026lt;strong\u0026gt;hands-on technical leadership\u0026lt;/strong\u0026gt; and the ability to influence architecture and execution across teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity for a \u0026lt;strong\u0026gt;senior technical leader\u0026lt;/strong\u0026gt; who enjoys working in ambiguous problem spaces and is motivated by solving \u0026lt;strong\u0026gt;novel, multi-cloud distributed systems challenges at massive scale\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8391889002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6311593002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8391889002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"RDQ426R299","title":"Sr. Staff Software Engineer, Observability ","company_name":"Databricks","first_published":"2026-01-26T19:46:01-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;RDQ426R299\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer in the\u0026lt;strong\u0026gt; Observability team\u0026lt;/strong\u0026gt;, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics. You will leverage powerful capabilities of Databricks’ own data intelligence platform to push the boundaries of troubleshooting practices in the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will uplevel monitoring and reliability practices across Databricks engineering, developing opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in software development, in large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving large projects involving multiple teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with observability infrastructure, monitoring patterns, and reliability practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$235,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$295,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8575248002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6078010002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8575248002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ126R35","title":"Sr. Staff Software Engineer — Observability, Insights \u0026 Governance","company_name":"Databricks","first_published":"2026-06-02T13:40:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ126R35\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, observability and governance are what turn a massive, multi-tenant data and AI platform into one customers can trust at scale. We are looking for a senior technical leader to drive strategy and execution across three closely related teams at the heart of that mission: Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Query Observability builds the performance and observability tooling, ingesting very large volumes of query telemetry and turning it into history views, execution plans, performance insights, and recommendations that help customers run workloads reliably at scale. Beyond query observability, you will be responsible for building observability and actionable insights at compute level, workspace level, and account level so that admins can confidently manage large accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a new technical leadership role responsible for setting the durable architecture across all these surfaces, raising the engineering bar of the combined team, and shaping the next generation of agentic experiences that let users — and the systems they run on — investigate, diagnose, and act on insights across query, warehouse, workspace, and account levels.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish the long-term technical direction across query observability, warehouse management, and account-level governance, and own the multi-year architecture all three surfaces are built on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and lead high-impact projects that move the needle on performance, reliability, and cost transparency for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the next generation of agentic observability and governance — extensible experiences that let users and automated agents investigate, diagnose, and act on telemetry across query, warehouse, and account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner deeply with Databricks SQL, Unity Catalog, AI, security, and platform teams to integrate end-to-end visibility and governance across the data plane and control plane.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor senior engineers, set the technical standards across the group, and recruit top talent into observability, insights, and governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion reliable, high-quality software and the operational practices that let a focused team confidently support product surfaces used by tens of thousands of customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years building and operating large-scale distributed systems, observability or governance platforms, databases, or backend infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven track record as a technical leader on teams operating in complex, multi-stakeholder environments — driving long-term architecture while still delivering incremental customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep computer science fundamentals (algorithms, data structures, systems design) applied to real-world, high-throughput problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with one or more of: observability and telemetry pipelines, query engines and query analytics, distributed tracing and metrics, time-series storage, data governance, or large-scale logging systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional communication skills — able to align engineering, product, and infrastructure partners across multiple teams on technical strategy and trade-offs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or equivalent practical experience (MS/PhD a plus).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: experience building agentic experiences using LLMs .\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$228,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$314,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8575251002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6078010002,"location":{"name":"Bellevue, Washington; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8575251002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ126R35","title":"Sr. Staff Software Engineer — Observability, Insights \u0026 Governance","company_name":"Databricks","first_published":"2026-06-02T13:41:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ126R35\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, observability and governance are what turn a massive, multi-tenant data and AI platform into one customers can trust at scale. We are looking for a senior technical leader to drive strategy and execution across three closely related teams at the heart of that mission: Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Query Observability builds the performance and observability tooling, ingesting very large volumes of query telemetry and turning it into history views, execution plans, performance insights, and recommendations that help customers run workloads reliably at scale. Beyond query observability, you will be responsible for building observability and actionable insights at compute level, workspace level, and account level so that admins can confidently manage large accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a new technical leadership role responsible for setting the durable architecture across all these surfaces, raising the engineering bar of the combined team, and shaping the next generation of agentic experiences that let users — and the systems they run on — investigate, diagnose, and act on insights across query, warehouse, workspace, and account levels.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Impact You Will Have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish the long-term technical direction across query observability, warehouse management, and account-level governance, and own the multi-year architecture all three surfaces are built on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and lead high-impact projects that move the needle on performance, reliability, and cost transparency for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the next generation of agentic observability and governance — extensible experiences that let users and automated agents investigate, diagnose, and act on telemetry across query, warehouse, and account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner deeply with Databricks SQL, Unity Catalog, AI, security, and platform teams to integrate end-to-end visibility and governance across the data plane and control plane.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor senior engineers, set the technical standards across the group, and recruit top talent into observability, insights, and governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion reliable, high-quality software and the operational practices that let a focused team confidently support product surfaces used by tens of thousands of customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What We Look For\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years building and operating large-scale distributed systems, observability or governance platforms, databases, or backend infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven track record as a technical leader on teams operating in complex, multi-stakeholder environments — driving long-term architecture while still delivering incremental customer impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep computer science fundamentals (algorithms, data structures, systems design) applied to real-world, high-throughput problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with one or more of: observability and telemetry pipelines, query engines and query analytics, distributed tracing and metrics, time-series storage, data governance, or large-scale logging systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional communication skills — able to align engineering, product, and infrastructure partners across multiple teams on technical strategy and trade-offs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or equivalent practical experience (MS/PhD a plus).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: experience building agentic experiences using LLMs .\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$298,550 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7993609002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5714674002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7993609002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1091","title":"Sr. Staff Software Engineer - Unity Catalog Data Governance","company_name":"Databricks","first_published":"2025-05-12T15:31:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ126R47\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog’s enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Leadership\u0026lt;/strong\u0026gt;: Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Ownership:\u0026lt;/strong\u0026gt; Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Influence:\u0026lt;/strong\u0026gt; Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence:\u0026lt;/strong\u0026gt; Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of industry experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of driving initiatives focused on customer satisfaction and incremental delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep computer science expertise (algorithms, data structures) with real-world application.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership, communication, and cross-functional collaboration skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or related fields (MS/PhD preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;(Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Us?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Influence the direction of industry-leading data and AI governance solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with world-class engineers and thought leaders in a collaborative, high-impact environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive compensation, comprehensive benefits, and opportunities for professional growth.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$217,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$312,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4076790002,"name":"Exec Engineering","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8445423002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6306898002,"location":{"name":"Bellevue, Washington; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8445423002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1489","title":"Sr. Staff Technical Program Manager - Reliability","company_name":"Databricks","first_published":"2026-03-02T16:12:59-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;P-1489\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;At Databricks, we are passionate about empowering data teams to tackle the world\u0026#39;s most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world\u0026#39;s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The Role\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You will have the opportunity to:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lead Reliability Strategy + Multi-Quarter Roadmaps\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Drive Execution of Critical Reliability Programs\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Partner Deeply with Engineering \u0026amp;amp; Influence Technical Direction\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Elevate Reliability Culture Across the Organization\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Required Experience \u0026amp;amp; Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Demonstrated success leading Reliability Programs at scale -\u0026amp;nbsp; including availability, failover, operational excellence, incident reduction,\u0026amp;nbsp; or dependency hardening.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience partnering directly with\u0026amp;nbsp;senior engineering leadership to define strategy and drive large, multi-team initiatives.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience delivering programs across multiple clouds and/or large-scale cloud-native services.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Background in distributed systems engineering, SRE, platform infrastructure, or cloud services.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Expertise using Jira or equivalent tools for program tracking and execution.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$243,340 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8445428002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6306898002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8445428002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1489","title":"Sr. Staff Technical Program Manager - Reliability","company_name":"Databricks","first_published":"2026-03-02T16:15:18-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;\u0026quot;\u0026gt;P-1489\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;At Databricks, we are passionate about empowering data teams to tackle the world\u0026#39;s most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world\u0026#39;s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The Role\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You will have the opportunity to:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lead Reliability Strategy + Multi-Quarter Roadmaps\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Drive Execution of Critical Reliability Programs\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Partner Deeply with Engineering \u0026amp;amp; Influence Technical Direction\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Elevate Reliability Culture Across the Organization\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Required Experience \u0026amp;amp; Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Demonstrated success leading Reliability Programs at scale -\u0026amp;nbsp; including availability, failover, operational excellence, incident reduction,\u0026amp;nbsp; or dependency hardening.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience partnering directly with\u0026amp;nbsp;senior engineering leadership to define strategy and drive large, multi-team initiatives.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience delivering programs across multiple clouds and/or large-scale cloud-native services.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Background in distributed systems engineering, SRE, platform infrastructure, or cloud services.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Expertise using Jira or equivalent tools for program tracking and execution.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$189,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$256,160 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8185059002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6243948002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Field Engineering"],"value_type":"multi_select"}],"id":8185059002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"FEQ426R542","title":"Sr. Technical Enablement Specialist","company_name":"Databricks","first_published":"2025-10-14T22:49:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;FEQ426R542\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Enablement Specialist at Databricks, you will apply your expertise in enablement to lead the design, rollout, and adoption of enablement programs for Databricks Technical Support Engineers, including collaboration with Support leaders and SMEs and/or Technical Curriculum Developers.\u0026amp;nbsp; Programs in your portfolio can include onboarding and everboarding motions focused on developing and maintaining technical and soft skills for Technical Support Engineers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a member of the Databricks Support Enablement Team, you’ll be responsible for (1) keeping up to date with the latest and greatest that Databricks has to offer when it comes to Support, (2) work with our enablement team to fully understand the business needs and requirements for Support, (3) create high-impact programs for Support, and (4) work with a team of technical enablement specialists to curate and\u0026amp;nbsp; design content needed for programs.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Use your Databricks and Enablement expertise to lead the design, curate, and maintain enablement programs for Databricks Technical Support\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with subject-matter-experts and technical enablement specialists to scope needs for new courses and updates to existing ones\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive improvements in Support KPIs through successful enablement programs (lagging indicators)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with enablement programs for technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with technical support best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cross-functional stakeholder management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills and data-driven decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;[Preferred] Experience designing and developing highly technical training\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4077535002,"name":"Field Engineering - Enablement","child_ids":[],"parent_id":4069106002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8396813002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6352210002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Marketing"],"value_type":"multi_select"}],"id":8396813002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"MKTQ227R21","title":"Sr. Technical Marketing Engineer - Lakebase/Apps","company_name":"Databricks","first_published":"2026-01-30T15:53:55-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;MKTQ227R21\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Senior Technical Marketing Engineer to help developers and data teams design, build, and operate applications using Lakebase and Databricks Apps. This role focuses on building projects end-to-end and translating platform capabilities into clear, practical guidance through demos, reference architectures, and technical content.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports to the Director of Technical Marketing and works closely with product, engineering, and field teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work closely with Lakebase and Databricks Apps product and engineering teams to validate application patterns and translate platform capabilities into practical guidance, partner with field engineering to build and scale customer-ready demos and workshops, and support application developers and data engineers as the primary audience, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain end-to-end demo applications using Lakebase and Databricks Apps, covering transactional workflows, application state, analytics, and AI integration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and document reference architectures and application patterns that combine database semantics, analytics, and AI on the same data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tell a clear and compelling technical story through the applications you build, showing the developer experience, tradeoffs, and benefits of building data-native apps using Lakebase\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop technical content such as blogs, videos, walkthroughs, and sample applications that explain both the architecture and the developer workflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering teams to test new capabilities, validate application patterns, and provide feedback grounded in real usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with field engineering and product marketing to support launches, enablement, and customer-facing technical narratives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate technical concepts clearly in customer meetings, analyst briefings, webinars, and conferences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a subject matter expert for application development use cases involving Lakebase and Databricks Apps.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in technical marketing, software engineering, solutions architecture, or developer-focused product roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience with Postgres and transactional application patterns, schema design, indexing, migrations, and query tuning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and shipping applications with APIs and data access layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong SQL skills, Python experience preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern app stacks and deployment concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong writing and presentation skills for technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable being customer-facing and self-directed across multiple workstreams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or master\u0026#39;s degree in computer science or related engineering practice\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Nice to Have\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building internal or customer-facing data applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with analytics, BI, or AI workloads integrated into applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with governance, identity, and access control in application environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior field-facing or customer-enablement experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks or cloud platform certifications.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$139,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$191,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$125,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$172,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$118,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$162,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$111,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$152,900 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001018002,"name":"Marketing","child_ids":[4062640002,4056743002,4056744002,4056745002,4056746002,4056747002,4056748002,4056749002,4056750002,4076797002,4049569002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8444598002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6373361002,"location":{"name":"Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8444598002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"P-1529","title":"Sr Technical Solutions (Backline)","company_name":"Databricks","first_published":"2026-03-04T23:17:36-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1529\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help the support team with detailed troubleshooting guides and runbooks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to automation and tooling initiatives to streamline daily troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the engineering team and spread awareness of upcoming features and releases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and contribute supportability features back into the product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in weekend and weekday on-call rotation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of industry experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with supporting Java, Scala or Python-based applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert in scripting using Python or Shell.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable with black box troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in troubleshooting issues related to the \u0026quot;Distributed Big Data Computing\u0026quot; environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with SQL-based database systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Linux and network troubleshooting is required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AWS, Azure or GCP related services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A bachelor\u0026#39;s degree in Computer Science or a related field is required\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8589172002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5279184002,"location":{"name":"McLean, Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8589172002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-298","title":"Sr Technical Solutions Engineering","company_name":"Databricks","first_published":"2026-06-11T20:37:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Sr Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within a high-consequence compliance framework, you will navigate evolving operational models—including dedicated secure facility operations—while directly engineering out systemic roadblocks. If you are a sharp systems or cloud specialist looking to apply your technical expertise to the world\u0026#39;s leading Data and AI platform within the intelligence and defense space, this role offers unmatched technical scope and mission-critical impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ensure Platform Reliability:\u0026lt;/strong\u0026gt; Drive the technical triage, infrastructure visibility, and incident resolution for Databricks’ multi-cloud data enclaves and Generative AI software running inside air-gapped environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unblock Secure Engineering Pipelines:\u0026lt;/strong\u0026gt; Serve as the essential secure-zone operational interface, unblocking complex GovCloud system interactions and taking on the analysis and triage burden for internal engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute Advanced Tooling \u0026amp;amp; Scripting:\u0026lt;/strong\u0026gt; Safely execute and adapt infrastructure scripts, automation tools, and diagnostic workflows natively within secure boundaries, adhering strictly to modern access guidelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Optimize Environment Patching:\u0026lt;/strong\u0026gt; Identify and resolve systemic environment blocks, reviewing infrastructure configurations to ensure streamlined, compliant patch deployment pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Maintain Guardrails \u0026amp;amp; Compliance:\u0026lt;/strong\u0026gt; Navigate and implement evolving operational frameworks within secure facilities (SCIF), ensuring all GovCloud interactions strictly meet rigorous federal security benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Active TS/SCI security clearance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in Systems Engineering, Cloud Infrastructure, Support Engineering, DevSecOps, or a related technical operational role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work out of our McLean, VA secure facility, including flexibility to support 24x7 operational coverage frameworks within a SCIF environment as required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Active Counterintelligence (CI) or Full Scope Polygraph (FSP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience supporting AWS World Wide Public Sector (WWPS), Oracle Cloud Infrastructure (OCI) Federal Support, or specialized high-side defense integration environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated history of navigating complex federal compliance frameworks, GovCloud boundaries, or air-gapped environment constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong professional tenure, showing a track record of stability and ownership within complex engineering or defense-intelligence spaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$130,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$178,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4029647002,"name":"McLean, Virginia","location":"McLean, Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8606459002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437456002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Business Development"],"value_type":"multi_select"}],"id":8606459002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"RDQ427R507","title":"Sr. Technology Partner Director, Business Applications","company_name":"Databricks","first_published":"2026-06-26T14:04:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R507\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems by partnering with the ISVs that drive innovation across every line of business. We enable our partners to bring deep intelligence into the critical workflows their customers rely on every day, from delivering real-time CRM behavioral insights to optimizing complex HR workforce planning. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 8,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 move valuable private companies.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Partner Development Manager, Business Application Partnerships, you will be responsible for developing, managing, and scaling our global partner ecosystem that makes Databricks the best place to run data-and-AI-intensive workloads central to core enterprise Line of Business operations. You will build and own strategic partnerships with a set of top ISVs across CRM/CSM, HCM, Finance, ERP — building joint solutions, co-creating joint GTM plays, and helping our field and customers realize the value of combining Databricks with leading Business Application partners.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;We are looking for someone who has previously managed Business Application ISVs at a hyperscaler or worked at a leading Business Application ISV. The role demands both technical and GTM acumen — able to work with Product and Engineering teams on integrations, as well as with Sales and Marketing teams on go-to-market execution. It is a fast-paced, cross-functional role requiring strong communication, prioritization, and presentation skills, and the ability to quickly context-switch between product, engineering, and field conversations. Success will require deep subject matter expertise in large-scale technology ecosystems, coupled with a scrappy, entrepreneurial spirit to build partnerships that establish Databricks as the best place to run Business Application workloads for years to come.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and own comprehensive, end-to-end partnership business plans for a portfolio of top-tier ISVs, integrating GTM strategies, product innovation roadmaps, and marketing initiatives to deliver measurable business outcomes.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the end-to-end lifecycle of top ISV partnerships in the Business Applications category, from joint business planning to solution development and execution.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive enablement and field readiness to ensure both Databricks and partner teams can effectively position and deliver these joint offerings.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the internal voice of top partners in category, collaborating with Product, Sales, and Marketing leadership to influence our roadmap and ensure our strategy addresses the evolving needs of the Business Application landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;ak-ul\u0026quot; data-indent-level=\u0026quot;1\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;7+ years in product partnerships, business development, or partner management, including 5+ years focused on Business Applications or cloud ecosystems.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success launching ISV integrations and GTM motions in Business Applications with hyperscalers\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding and network across Business Application ecosystems — CRM/CSM, HCM, Finance, ERP, and related workflows, and ability to develop joint value propositions that resonate with technical and business decision-makers alike.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional leadership skills — able to influence Product, Engineering, Sales, Marketing, and Business Operations teams.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience navigating co-opetition dynamics and sensitive partner relationships.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written, verbal, and presentation skills\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grit, humility, and the ability to operate in a high-growth, founder-led environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$178,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$245,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$161,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$221,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$152,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$209,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8468436002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6342083002,"location":{"name":"New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8468436002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1592","title":"Staff Backend Software Engineer","company_name":"Databricks","first_published":"2026-03-18T13:27:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1592\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data and AI teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search.\u0026amp;nbsp; You’ll be joining a \u0026lt;strong\u0026gt;high-agency, high-visibility team\u0026lt;/strong\u0026gt; operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.\u0026amp;nbsp; Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring across multiple teams in our AI Engineering org, including:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve reliability, latency, and efficiency of distributed AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape how developers and data scientists build and interact with AI on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in backend or infrastructure engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in \u0026lt;strong\u0026gt;Scala, Go, or Python\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, scalable APIs, or cloud-native infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with service-oriented architecture, deployment pipelines, and system observability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product and ownership mindset — you care about building the right solution, not just any solution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Bonus points for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time serving, ML infrastructure, or GPU orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to platforms like SageMaker, Vertex AI, or Azure ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Built developer platforms or internal tools supporting AI workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4033547002,"name":"New York","location":"New York","child_ids":[4000553002,4056377002],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367021002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8367021002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Backend Software Engineer- (AI Platform)","company_name":"Databricks","first_published":"2026-03-31T00:29:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367019002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8367019002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Backend Software Engineer- (AI Platform)","company_name":"Databricks","first_published":"2026-03-31T00:29:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1428\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data and AI teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search.\u0026amp;nbsp; You’ll be joining a \u0026lt;strong\u0026gt;high-agency, high-visibility team\u0026lt;/strong\u0026gt; operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.\u0026amp;nbsp; Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring across multiple teams in our AI Engineering org including:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build infrastructure that powers our flagship offerings like\u0026amp;nbsp; MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve reliability, latency, and efficiency of distributed AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape how developers and data scientists build and interact with AI on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in backend or infrastructure engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in \u0026lt;strong\u0026gt;Scala, Go, or Python\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, scalable APIs, or cloud-native infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with service-oriented architecture, deployment pipelines, and system observability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product and ownership mindset — you care about building the right solution, not just any solution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Bonus points for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time serving, ML infrastructure, or GPU orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to platforms like SageMaker, Vertex AI, or Azure ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to OSS projects like MLflow, PyTorch, or Ray\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Built developer platforms or internal tools supporting AI workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367022002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8367022002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Backend Software Engineer- (AI Platform)","company_name":"Databricks","first_published":"2026-03-31T00:29:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer-focused mindset with the ability to align implementation details with product goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367023002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8367023002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Backend Software Engineer- (AI Platform)","company_name":"Databricks","first_published":"2026-03-31T00:29:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Foundation Model Serving is the API Product for hosting and serving frontier AI model inference for open source models like Llama, Qwen, and GPT OSS as well as proprietary models like Claude and OpenAI GPT. For this role, no prior ML or AI experience is necessary. We’re looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer, you’ll play a critical role in shaping both the product experience and core infrastructure. You will design and build systems that enable high-throughput, low-latency inference on GPU workloads with frontier models, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class foundation model API product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — ensuring smooth and efficient operations at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading high-scale operationally sensitive backend systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of up-leveling teams engineering excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604598002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436788002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8604598002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R175","title":"Staff Data and AI Engineer, Finance","company_name":"Databricks","first_published":"2026-07-01T06:19:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ327R175\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;This role is a part of the Finance Organisation.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks\u0026#39; Finance and Accounting organization. You will report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team. This individual is expected to be based in Bengaluru.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact role at the intersection of finance domain expertise and data platform capability. You will work closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP\u0026amp;amp;A, and Finance leadership to define what gets built and how.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be embedded in a Finance organization that takes data and AI seriously, with visibility to CFO-level priorities. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect, build, and own the most complex finance data pipelines in the Finance DataLake, using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the technical design of AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and deliver curated Finance DataLake datasets and enforce row-level security, data access policies, and Unity Catalog governance standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and champion coding standards, data modeling conventions, documentation practices, and testing frameworks across the Finance engineering team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enforce and evolve Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical scoping and solutioning for requirements from Accounting, FP\u0026amp;amp;A, Internal Audit, and Procurement teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary technical point of contact during financial close, ensuring data accuracy and timely resolution of pipeline issues\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with IT and Engineering on new system integrations, providing detailed technical requirements and leading UAT\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor junior and mid-level engineers through code reviews, pairing, and design discussions, raising the technical quality of the broader team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify architectural debt, performance bottlenecks, and tooling gaps, and drive resolution with minimal direction\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of experience in data engineering, analytics engineering, or finance systems, with a track record of owning complex, production-grade pipelines end-to-end\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep proficiency in SQL and Python; hands-on experience with Apache Spark and the Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and maintaining ELT/ETL pipelines from financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to independently translate ambiguous Finance requirements into well-architected, maintainable technical solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable driving technical conversations with both engineering peers and non-technical Finance stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building Finance-facing dashboards, self-service BI products, and executive reporting layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML concepts with demonstrated enthusiasm for applying them to Finance workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at a high-growth SaaS or cloud infrastructure company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with AI/BI tools, Genie, or LLM-powered applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CPA, CFA, or formal finance/accounting background\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5507088002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4004834002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":null,"value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5507088002,"updated_at":"2026-07-24T19:28:42-04:00","requisition_id":"P-57","title":"Staff Data Scientist ","company_name":"Databricks","first_published":"2021-08-27T17:33:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-57\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production \u0026quot;customer\u0026quot; that dogfoods Databricks and drives the future direction of the products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build self-serving internal data products to make data simple within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in data analysis and visualization using tools like R and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed data processing systems like Spark, and proficiency in SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7069793002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4004834002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":null,"value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7069793002,"updated_at":"2026-07-24T19:28:42-04:00","requisition_id":"P-57","title":"Staff Data Scientist - Infrastructure","company_name":"Databricks","first_published":"2023-12-19T14:18:48-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-57\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production \u0026quot;customer\u0026quot; that dog foods Databricks and drives the future direction of the products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;“\u0026lt;em\u0026gt;Analysis at the speed of thought\u0026lt;/em\u0026gt;”: Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;“\u0026lt;em\u0026gt;Extend capabilities of Databricks\u0026lt;/em\u0026gt;”: Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;“\u0026lt;em\u0026gt;Strategic business insights\u0026lt;/em\u0026gt;”: Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product,\u0026amp;nbsp; and Technical Operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding skills in Python and SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8178287002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4004834002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":null,"value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8178287002,"updated_at":"2026-07-24T19:28:42-04:00","requisition_id":"P-57","title":" Staff Data Scientist - Trust and Safety","company_name":"Databricks","first_published":"2025-09-19T16:40:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ426R282\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is building the world\u0026#39;s best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this \u0026lt;a href=\u0026quot;https://www.databricks.com/blog/protecting-your-compute-resources-bitcoin-miners-data-lakehouse\u0026quot;\u0026gt;blog post\u0026lt;/a\u0026gt;. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;More information is available at\u0026lt;a href=\u0026quot;https://www.databricks.com/trust\u0026quot;\u0026gt; \u0026lt;/a\u0026gt;\u0026lt;a href=\u0026quot;https://www.databricks.com/trust\u0026quot;\u0026gt;https://www.databricks.com/trust\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will create solutions and frameworks to meet compliance requirements at Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will represent Databricks at academic and industrial conferences and events.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of good software engineering practices around testing, code reviews, and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in a highly cross functional alignment and talking about results to non-technical partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying Data Science / ML solutions in production to achieve results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding skills in SQL and a software development language (preferably Python)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed data processing systems like Spark and familiarity with software engineering principles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Masters or higher in quantitative fields or equivalent experience in industry\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8554477002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6416900002,"location":{"name":"Japan"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8554477002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"P-1554","title":"Staff Designated Support Engineer","company_name":"Databricks","first_published":"2026-05-24T09:55:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1554\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks\u0026#39; largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Discover requirements for continuous monitoring to detect early performance issues working with R\u0026amp;amp;D and NOC teams to optimize the DNB customer environments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Expertise in Big Data and Spark:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Engineering Specialization:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Tech Skills\u0026lt;/strong\u0026gt;: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and CI/CD Skills:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Experience:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Proactive Problem Solving Skills\u0026lt;/strong\u0026gt;: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration and Leadership:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Language Skills: \u0026lt;/strong\u0026gt;Fluent Japanese and business-level English are required.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;and\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4033856002,"name":"Japan","location":"Japan","child_ids":[4056345002,4029277002],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8554463002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6416893002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8554463002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"P-1553","title":"Staff Designated Support Engineer","company_name":"Databricks","first_published":"2026-05-24T09:50:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1553\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks\u0026#39; largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Discover requirements for continuous monitoring to detect early performance issues working with R\u0026amp;amp;D and NOC teams to optimize the DNB customer environments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Expertise in Big Data and Spark:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Engineering Specialization:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Tech Skills\u0026lt;/strong\u0026gt;: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and CI/CD Skills:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Experience:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Proactive Problem Solving Skills\u0026lt;/strong\u0026gt;: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration and Leadership:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4033855002,"name":"India","location":"India","child_ids":[4084805002,4056344002,4056342002,4056343002,4056341002,4007112002],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7839474002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5701473002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7839474002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1011","title":"Staff Designated Support Engineer","company_name":"Databricks","first_published":"2025-01-30T12:51:59-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1011\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Job Location: San Francisco Bay Area, CA\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks\u0026#39; largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Discover requirements for continuous monitoring to detect early performance issues working with R\u0026amp;amp;D and NOC teams to optimize the DNB customer environments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Expertise in Big Data and Spark:\u0026lt;/strong\u0026gt; 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Engineering Specialization:\u0026lt;/strong\u0026gt; Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Tech Skills\u0026lt;/strong\u0026gt;: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud and CI/CD Skills:\u0026lt;/strong\u0026gt; Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer-Facing Experience:\u0026lt;/strong\u0026gt; 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Advanced Proactive Problem Solving Skills\u0026lt;/strong\u0026gt;: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaboration and Leadership:\u0026lt;/strong\u0026gt; Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$141,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8479031002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6386857002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":8479031002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"RDQ227R1176","title":"Staff Enterprise Security Engineer","company_name":"Databricks","first_published":"2026-03-31T20:08:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ227R1176\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is hiring an L6 Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes modern access patterns such as MCP, integration, and trust boundary security, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment and cross-functional partnership.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the intersection of enterprise architecture, security engineering, and business enablement. The engineer will review new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early, set clear requirements, and support scalable adoption of secure patterns. This is a strong opportunity to help shape how Enterprise Security supports SaaS, internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Requirements:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting security design or architecture reviews for enterprise applications, SaaS platforms, integrations, or internally developed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving security outcomes through engineering judgment, influence, and scalable process improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Outcomes\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;OUTCOME 1:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Strengthen security practices across enterprise application and integration reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;OUTCOME 2:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026amp;nbsp;Strengthen Enterprise Security’s capability to assess and guide AI-adjacent security, MCP and integration security, and cross-system data flow risk, while improving the consistency and scale of security reviews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;OUTCOME 3:\u0026lt;/strong\u0026gt; Demonstrate the ability to build automation and agent capabilities that help secure systems from the start by allowing IT workflows, internal bots, and automation platforms to call Enterprise Security guidance directly for risk triage, control validation, and escalation decisions. This should reduce dependency on manual review and embed security guidance earlier in the system lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$194,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$267,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$241,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$165,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$227,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$155,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8530855002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6406927002,"location":{"name":"Remote - India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Forward Deployed Engineering"],"value_type":"multi_select"}],"id":8530855002,"updated_at":"2026-07-24T19:29:00-04:00","requisition_id":"CSQ427R195","title":"Staff Forward Deployed Engineer","company_name":"Databricks","first_published":"2026-07-08T06:09:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;CSQ427R195\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Staff FDE\u0026lt;/strong\u0026gt; in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;15+ years experience\u0026lt;/strong\u0026gt; with\u0026lt;strong\u0026gt; Big Data\u0026lt;/strong\u0026gt; Technologies such as \u0026lt;strong\u0026gt;Apache Spark™, Kafka,\u0026lt;/strong\u0026gt; Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;6+ years of experience\u0026lt;/strong\u0026gt; working on \u0026lt;strong\u0026gt;Big Data Architectures\u0026lt;/strong\u0026gt; independently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience working on \u0026lt;strong\u0026gt;AI based implementations including RAG, MCP, Context engineering etc\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience working in the \u0026lt;strong\u0026gt;Databricks ecosystem\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable writing code in either \u0026lt;strong\u0026gt;Python or Scala\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working across Cloud Platforms (\u0026lt;strong\u0026gt;GCP / AWS / Azure\u0026lt;/strong\u0026gt;)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Documentation and white-boarding skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent \u0026lt;strong\u0026gt;problem solving and critical thinking\u0026lt;/strong\u0026gt; skills that turn business problems in to reliable technical products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent stakeholder management skills to collaborate with both technical and domain experts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly customer-obsessed, innovative and think beyond the current world and come up with \u0026lt;strong\u0026gt;innovative solutions that can last long in the GenAI world\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4070291002,"name":"Professional Services Operations","child_ids":[],"parent_id":4001269002}],"offices":[{"id":4056344002,"name":"Remote - India","location":"Remote - India","child_ids":[],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8399551002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5581011002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8399551002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-949","title":"Staff Frontend Engineer - Seattle","company_name":"Databricks","first_published":"2026-02-03T13:58:28-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example experiences you\u0026#39;ll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and ship \u0026lt;strong\u0026gt;reusable UI primitives and component patterns\u0026lt;/strong\u0026gt; that behave consistently across consoles, enabling a write‑once, run‑anywhere model.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define \u0026lt;strong\u0026gt;application bootstrapping\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;cross‑surface navigation primitives\u0026lt;/strong\u0026gt; that abstract console boundaries while enforcing correct AuthZ and routing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver unified frontend data clients and service components.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide \u0026lt;strong\u0026gt;reference patterns, templates, and tests\u0026lt;/strong\u0026gt; that standardize portability, reduce rework, and accelerate delivery of cross-surface features.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with HTML, CSS, and JavaScript/TypeScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading large multi-quarter efforts with a demonstrated customer or business impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and an understanding of front-end architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with server-side web technologies is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building large-scale products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401(k) Plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexible time off\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Paid parental leave\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Family Planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gym reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual personal development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee Assistance Program (EAP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel accident insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mental wellness resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6704975002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5533735002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6704975002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-925","title":"Staff Fullstack Engineer","company_name":"Databricks","first_published":"2025-01-23T02:16:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-925\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example experiences you\u0026#39;ll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Seamless onboarding and management for all members of an organization to become data-driven.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide a great SQL-centric data exploration and dashboarding experience on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An interactive environment for\u0026lt;strong\u0026gt; collaborative\u0026lt;/strong\u0026gt; data projects at massive \u0026lt;strong\u0026gt;scale\u0026lt;/strong\u0026gt; with an easy path to \u0026lt;strong\u0026gt;production.\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with HTML, CSS, and JavaScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading large multi-quarter efforts with a demonstrated customer or business impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and an understanding of front-end architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with server-side web technologies is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building large-scale products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive health coverage including medical, dental, and vision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401(k) Plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexible time off\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Paid parental leave\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Family Planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gym reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual personal development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee Assistance Program (EAP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel accident insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mental wellness resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220840002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6257887002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8220840002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1477","title":"Staff Fullstack Engineer, Agentic Applications","company_name":"Databricks","first_published":"2026-06-04T13:25:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1477\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is transforming how it builds and operates People Technology — moving from traditional SaaS configuration toward an AI-native, agentic stack. You\u0026#39;ll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What you\u0026#39;ll do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q\u0026amp;amp;A, HR service delivery — using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we\u0026#39;re looking for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep fluency in Python and experience with agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with data platforms — Databricks, Spark, or equivalent — and building AI applications on top of lakehouse or warehouse architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in People Tech, HR tech, or internal tooling domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Workday, Greenhouse or similar enterprise HR platforms — especially via API or integration layer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220836002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6257887002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8220836002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1477","title":"Staff Fullstack Engineer, Agentic Applications","company_name":"Databricks","first_published":"2025-10-29T15:58:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1477\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business.\u0026amp;nbsp; Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers.\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define the technical strategy and roadmap for building in-house solutions for critical internal workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of software engineering experience, with a strong track record of technical leadership and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and building end-to-end, full-stack cloud-native applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer obsession and product engineering mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to influence technical and business stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of raising the engineering quality bar, focus on execution and operational rigor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for the data intelligence space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Why Join Us?\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on high-impact, high-visibility initiatives that directly contribute to Databricks\u0026#39; growth trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor a talented team of engineers solving challenging, customer-centric problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you are passionate about building AI-powered solutions for running the business, we would love to hear from you!\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8401114002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6334017002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8401114002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"P-1504","title":"Staff Machine Learning Engineer ","company_name":"Databricks","first_published":"2026-02-02T17:44:35-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1504\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched\u0026amp;nbsp;\u0026lt;a class=\u0026quot;c-link\u0026quot; href=\u0026quot;https://www.databricks.com/blog/introducing-databricks-assistant\u0026quot; target=\u0026quot;_blank\u0026quot; data-stringify-link=\u0026quot;https://www.databricks.com/blog/introducing-databricks-assistant\u0026quot; data-sk=\u0026quot;tooltip_parent\u0026quot;\u0026gt;Databricks Assistant\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a class=\u0026quot;c-link\u0026quot; href=\u0026quot;https://www.databricks.com/product/ai-bi/genie\u0026quot; target=\u0026quot;_blank\u0026quot; data-stringify-link=\u0026quot;https://www.databricks.com/product/ai-bi/genie\u0026quot; data-sk=\u0026quot;tooltip_parent\u0026quot;\u0026gt;AI/BI Genie\u0026lt;/a\u0026gt;, and\u0026amp;nbsp;\u0026lt;a class=\u0026quot;c-link\u0026quot; href=\u0026quot;https://www.databricks.com/blog/introducing-agent-bricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-stringify-link=\u0026quot;https://www.databricks.com/blog/introducing-agent-bricks\u0026quot; data-sk=\u0026quot;tooltip_parent\u0026quot;\u0026gt;Agent Bricks\u0026amp;nbsp;\u0026lt;/a\u0026gt;working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As our GenAI products continue to evolve, we are seeking multiple \u0026lt;strong\u0026gt;\u0026amp;nbsp;GenAI Engineers from junior levels to more senior levels\u0026lt;/strong\u0026gt; to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Shape the direction of our applied AI areas and intelligence features in our products\u0026lt;strong\u0026gt;. \u0026lt;/strong\u0026gt;Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks\u0026#39; products and services (e.g., Databricks Assistant and AI/BI Genie).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Us?\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please note we are open to employees working from our Mountain View, CA office for this position.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$285,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8614863002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6440655002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8614863002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"RDQ427R109","title":"Staff Machine Learning Engineer, CustomerLake (ML/LLM)","company_name":"Databricks","first_published":"2026-06-30T19:49:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;RDQ427R109\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the first engineers in the NYC Engineering office, you\u0026#39;ll join a small, nimble team building new products from the ground up. We\u0026#39;re building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don\u0026#39;t have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Evaluate ML and LLM approaches for CustomerLake\u0026#39;s personalization use cases, push the models and algorithms forward, and continuously improve quality over time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An academic or research background that can help us innovate and develop novel methods\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2729\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8508943002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6398991002,"location":{"name":"New York City, New York; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Business Development"],"value_type":"multi_select"}],"id":8508943002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"RDQ427R371","title":"Staff Partner Engineer, Azure ","company_name":"Databricks","first_published":"2026-04-15T23:00:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R371\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create and maintain technical architecture artifacts showing \u0026quot;better together\u0026quot; integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we’re looking for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of Databricks platform and Microsoft data/AI ecosystem\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of driving product-to-product integrations between major platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$150,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$206,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$150,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$206,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8584704002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428951002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8584704002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"RDQ327R178","title":"Staff Product Designer, AI Products ","company_name":"Databricks","first_published":"2026-06-11T14:23:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ327R178\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users.\u0026amp;nbsp; This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct user research to identify customer needs, pain points, and opportunities related to data activation, and AI-assisted workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor junior designers, fostering their growth and development within our team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of product design work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A bachelor\u0026#39;s or master’s degree in design, computer science, human-computer interaction, or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can execute beautiful visual and interaction work that’s rooted in a data-driven, and well-researched UX process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have a unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive tooling for technical users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A portfolio demonstrating your end-to-end design process, from inception to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing products that bridge the gap between technical and business users is a strong plus. Familiarity with data, analytics, AI, or enterprise software is highly valued.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The strongest candidates have demonstrated experience using modern development and AI-assisted coding tools to prototype ideas, understand implementation tradeoffs, and collaborate deeply with engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$229,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000553002,"name":"New York City, New York","location":"New York City, New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8519350002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6394874002,"location":{"name":"Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8519350002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1603","title":"Staff Production Engineer- Public Sector","company_name":"Databricks","first_published":"2026-04-22T13:14:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;P-1603\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don’t just use the cloud; we are \u0026quot;cloud maximalists.\u0026quot; Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the \u0026quot;sovereign layer\u0026quot; of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Security-Focused Cloud Operations\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, automate, and operate the \u0026lt;strong\u0026gt;IAM, account/subscription, and project lifecycle\u0026lt;/strong\u0026gt; across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review, implement, and continuously improve \u0026lt;strong\u0026gt;cloud identity and access policies\u0026lt;/strong\u0026gt; (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Production Engineering \u0026amp;amp; Automation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain \u0026lt;strong\u0026gt;reliable, observable automation and tooling\u0026lt;/strong\u0026gt; to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Treat operational and security issues as \u0026lt;strong\u0026gt;software problems\u0026lt;/strong\u0026gt;: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Security Data Pipelines \u0026amp;amp; Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and improve \u0026lt;strong\u0026gt;security and audit logging data pipelines\u0026lt;/strong\u0026gt; from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Security, Compliance, and Audit teams to provide \u0026lt;strong\u0026gt;evidence, clarifications, and policy updates\u0026lt;/strong\u0026gt; that keep our environments aligned with evolving standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Regulated \u0026amp;amp; Specialized Environments\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Operate and improve \u0026lt;strong\u0026gt;specialized, highly regulated environments\u0026lt;/strong\u0026gt; (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure high availability and resiliency for critical security and access infrastructure across these environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;On-Call \u0026amp;amp; Incident Response\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Participate in a \u0026lt;strong\u0026gt;24x7 on-call rotation\u0026lt;/strong\u0026gt; for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Required:\u0026lt;/strong\u0026gt; Candidates must hold a \u0026lt;strong data-path-to-node=\u0026quot;6,0\u0026quot; data-index-in-node=\u0026quot;33\u0026quot;\u0026gt;current TS/SCI clearance\u0026lt;/strong\u0026gt; (either active or currently held in an editable/re-activatable status within the 2-year window).\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt; Possession of a current \u0026lt;strong\u0026gt;polygraph\u0026lt;/strong\u0026gt; (Counterintelligence or Full Scope) is highly desired and considered a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Education-\u0026amp;nbsp;\u0026lt;/strong\u0026gt;BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Staff\u0026lt;/strong\u0026gt;: 8+ years of experience operating and automating large-scale cloud environments, with a track record of driving cross-team infrastructure improvement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud \u0026amp;amp; Infrastructure Expertise\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on experience with at least one major cloud provider (\u0026lt;strong\u0026gt;AWS, Azure, or GCP\u0026lt;/strong\u0026gt;) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in\u0026amp;nbsp;\u0026lt;strong\u0026gt;Infrastructure-as-Code and automation\u0026lt;/strong\u0026gt; (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security \u0026amp;amp; Compliance Mindset\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience working in or with \u0026lt;strong\u0026gt;security-sensitive or regulated environments\u0026lt;/strong\u0026gt; (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;access review processes, policy baselines, and audit evidence\u0026lt;/strong\u0026gt; for cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence\u0026lt;/strong\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success running \u0026lt;strong\u0026gt;high-availability, security-critical services\u0026lt;/strong\u0026gt;, including on-call responsibilities and incident management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;Okta, Opal, or similar identity/access tooling\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background operating secure admin workstations (SAW) or comparable hardened access patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience migrating cloud accounts or subscriptions during \u0026lt;strong\u0026gt;M\u0026amp;amp;A or large-scale reorganizations\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$162,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$222,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4039466002,"name":"Virginia","location":"Virginia","child_ids":[4029647002,4032564002,4036963002,4056379002],"parent_id":4056357002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7649411002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6006212002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7649411002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1345","title":"Staff Product Manager","company_name":"Databricks","first_published":"2024-09-20T13:05:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1345\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be the Product Manager for the Databricks Runtime team in \u0026lt;strong\u0026gt;Berlin\u0026lt;/strong\u0026gt;. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the end-to-end product management process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive launches with product marketing through blog posts, release notes, webinars\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and measure OKRs for your products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ yrs of experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors degree in Computer Science or similar field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Product Management (inbound, outbound, cross-functional processes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of cloud infrastructure (AWS, Azure, GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000548002,"name":"EMEA","location":"EMEA","child_ids":[4085814002,4039463002,4129164002,4122256002,4083056002,4033857002,4039464002,4092023002,4018696002,4018697002,4033553002,4018693002,4018695002,4029696002,4039462002,4033858002,4033859002,4058553002,4085815002,4059151002,4056388002,4122257002,4018698002,4083055002,4021788002,4005269002,4056387002,4026450002,4088148002,4086869002,4045928002,4005271002,4045930002,4045927002,4045926002,4056389002,4045929002,4056390002,4061631002,4003044002,4000545002,4056392002,4000546002,4056391002,4059154002,4007500002,4030068002],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7649409002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6006212002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7649409002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1345","title":"Staff Product Manager","company_name":"Databricks","first_published":"2024-09-20T13:05:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1345\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the end-to-end product management process\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Drive launches with product marketing through blog posts, release notes, webinars\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Define and measure OKRs for your products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ yrs of experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors degree in Computer Science or similar field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in Product Management (inbound, outbound, cross-functional processes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical skills\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ql-indent-1\u0026quot;\u0026gt;Solid understanding of cloud infrastructure (AWS, Azure)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000548002,"name":"EMEA","location":"EMEA","child_ids":[4085814002,4039463002,4129164002,4122256002,4083056002,4033857002,4039464002,4092023002,4018696002,4018697002,4033553002,4018693002,4018695002,4029696002,4039462002,4033858002,4033859002,4058553002,4085815002,4059151002,4056388002,4122257002,4018698002,4083055002,4021788002,4005269002,4056387002,4026450002,4088148002,4086869002,4045928002,4005271002,4045930002,4045927002,4045926002,4056389002,4045929002,4056390002,4061631002,4003044002,4000545002,4056392002,4000546002,4056391002,4059154002,4007500002,4030068002],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560772002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6419404002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":8560772002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"GAQ327R225","title":"Staff Product Manager, Agentic AI Applications","company_name":"Databricks","first_published":"2026-06-23T16:49:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Location: San Francisco or Mountain View, California\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;GAQ327R225\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is building an \u0026lt;strong\u0026gt;Agentic Enterprise applications Platform\u0026lt;/strong\u0026gt; a scalable, governed AI application platform built on Databricks that enables any internal team (GTM, Finance, HR, Legal, Product) to build production grade agentic applications in weeks, not months. The platform provides a managed agent runtime, standardized MCP connectors to enterprise systems of record, a shared UI component library with a design system, an intelligence data/context layer and a gold-standard promotion pipeline from prototype to production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Staff Product Manager\u0026lt;/strong\u0026gt;, you will own the product strategy, roadmap, and execution for the Agentic Platform the foundational layer that every domain workspace depends on. You will work across agent runtime, MCP connectors, intelligence layer, evaluation framework, developer experience, and governance to deliver a platform that reduces time-to-production from months to weeks while maintaining enterprise grade quality, security, and reliability. You will partner closely with Application Engineering, the CIO organization, and domain teams across GTM, HR, Finance, and Product to ensure the platform serves real needs and scales with the organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the Agentic Platform strategy and roadmap. \u0026lt;/strong\u0026gt;Define what ships, in what order, and why. Translate organizational outcomes into concrete platform capabilities with measurable success criteria.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Define and drive the agent \u0026amp;nbsp; and runtime. \u0026lt;/strong\u0026gt;Establish the managed agent runtime supporting multi step orchestration with durable execution, model gateway abstraction across all providers, governed tool invocation, and configurable per-agent guardrails (cost ceilings, timeouts, blast radius limits).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the MCP connector ecosystem. \u0026lt;/strong\u0026gt;Own the strategy for standardized, bidirectional connectors various systems of record. Drive on behalf of identity propagation, idempotency, dry-run/preview mode, and a connector SDK that lets domain teams onboard new systems without platform changes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Establish the intelligence layer. \u0026lt;/strong\u0026gt;Define the three layer data architecture: knowledge graph (curated domain knowledge), context graph (live entity state from systems of record), and temporal memory (session, user preferences, and episodic history). Ensure unified retrieval across vector, structured, and graph sources with source traceability on every context element.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ship the evaluation and quality framework. \u0026lt;/strong\u0026gt;Own the AI-judge evaluation pipeline: offline eval with golden datasets, online LLM-as-judge scoring, domain-specific judges (Finance, HR, Legal, Sales), and mandatory evaluation gates in CI/CD. No agent reaches production without passing quality and safety thresholds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design the developer experience. \u0026lt;/strong\u0026gt;Make the platform self-service by construction. Domain teams provision agent projects, promote across environments, and access connectors without platform-team tickets. SDK, CLI, sandbox environments, agent templates, and documentation — the paved road must be faster than building bespoke. Target: idea to production in \u0026amp;lt;4 weeks for a standard agent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Define the federation and adoption model. \u0026lt;/strong\u0026gt;Establish the three tiers of adoption (platform built, domain built on platform, citizen developer edge apps) with governance checkpoints at each gate. Drive the gold-standard promotion pipeline from edge prototype to production hardened service.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of product management experience, with at least 3 years on internal platform, infrastructure, or developer-experience products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience building platforms that other teams build on you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead cross-functional initiatives across 4+ teams without direct authority. You influence through clarity, conviction, and stakeholder alignment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written communication strategy documents, PRDs, and executive briefs that drive alignment at VP and CIO level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity, you will define the roadmap for capabilities that don\u0026#39;t exist yet, in a space that is evolving weekly.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Databricks, Lakehouse architecture, Unity Catalog, MLflow, or Delta Lake.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with LangGraph, LangChain, or similar agent orchestration frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or AG-UI protocols.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building AI evaluation frameworks LLM-as-judge, red-teaming, or automated quality scoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with design systems, component libraries, or frontend platform work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in enterprise SaaS platform consolidation or migration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$172,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$236,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$172,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$258,400 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095718002,"name":"Integration, Data, Engineering and Applications","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8420609002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6363249002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8420609002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R276","title":"Staff Product Manager, AI Platform","company_name":"Databricks","first_published":"2026-02-18T14:52:06-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R276\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: San Francisco or Seattle\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;More about the team:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world\u0026#39;s most sophisticated data and AI organizations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$249,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8427940002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6363249002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8427940002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R276","title":"Staff Product Manager, AI Platform","company_name":"Databricks","first_published":"2026-02-18T14:52:07-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R276\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Location: San Francisco or Seattle\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;More about the team:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world\u0026#39;s most sophisticated data and AI organizations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$172,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$237,325 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7110499002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5723385002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7110499002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1016","title":"Staff Product Manager, Security","company_name":"Databricks","first_published":"2024-02-06T17:37:40-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1016\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with cloud providers and support confidential compute\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Domain expertise in data security, data privacy, and encryption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for designing products that simplify user experience of technically complex products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$135,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7110509002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":5723385002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":7110509002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1016","title":"Staff Product Manager, Security","company_name":"Databricks","first_published":"2024-02-06T17:37:41-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1016\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with cloud providers and support confidential compute\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Domain expertise in data security, data privacy, and encryption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for designing products that simplify user experience of technically complex products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$129,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$228,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8420607002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6363248002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8420607002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R275","title":"Staff Product Manager, Serverless Workspaces","company_name":"Databricks","first_published":"2026-02-18T15:21:20-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R275\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Location: San Francisco or Seattle\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;More about the team:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Serverless Workspaces team is the engine behind Databricks\u0026#39; shift from a \u0026quot;configure-first\u0026quot; to a \u0026quot;use-now\u0026quot; platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission is to deliver \u0026lt;strong\u0026gt;\u0026quot;Workspaces in Seconds.\u0026quot;\u0026lt;/strong\u0026gt; We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive the transition to Serverless:\u0026lt;/strong\u0026gt; You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Democratize Workspace Creation:\u0026lt;/strong\u0026gt; You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Redefine the \u0026quot;Getting Started\u0026quot; experience:\u0026lt;/strong\u0026gt; You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Solve \u0026quot;Workspace Proliferation\u0026quot;:\u0026lt;/strong\u0026gt; As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unify the Data Estate:\u0026lt;/strong\u0026gt; You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of experience\u0026lt;/strong\u0026gt; as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical depth in Cloud Infrastructure:\u0026lt;/strong\u0026gt; Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Passion for simplification:\u0026lt;/strong\u0026gt; You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into \u0026quot;one-click\u0026quot; consumer-grade experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-driven mindset:\u0026lt;/strong\u0026gt; You are comfortable defining and tracking KPIs, such as \u0026quot;Time to First Workspace\u0026quot; or \u0026quot;Serverless Adoption Rate,\u0026quot; to measure success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,700\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$249,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8427954002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6363248002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8427954002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R275","title":"Staff Product Manager, Serverless Workspaces","company_name":"Databricks","first_published":"2026-02-18T15:21:21-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ427R275\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Location: San Francisco or Seattle\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;More about the team:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Serverless Workspaces team is the engine behind Databricks\u0026#39; shift from a \u0026quot;configure-first\u0026quot; to a \u0026quot;use-now\u0026quot; platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission is to deliver \u0026lt;strong\u0026gt;\u0026quot;Workspaces in Seconds.\u0026quot;\u0026lt;/strong\u0026gt; We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive the transition to Serverless:\u0026lt;/strong\u0026gt; You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Democratize Workspace Creation:\u0026lt;/strong\u0026gt; You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Redefine the \u0026quot;Getting Started\u0026quot; experience:\u0026lt;/strong\u0026gt; You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Solve \u0026quot;Workspace Proliferation\u0026quot;:\u0026lt;/strong\u0026gt; As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unify the Data Estate:\u0026lt;/strong\u0026gt; You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of experience\u0026lt;/strong\u0026gt; as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical depth in Cloud Infrastructure:\u0026lt;/strong\u0026gt; Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Passion for simplification:\u0026lt;/strong\u0026gt; You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into \u0026quot;one-click\u0026quot; consumer-grade experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-driven mindset:\u0026lt;/strong\u0026gt; You are comfortable defining and tracking KPIs, such as \u0026quot;Time to First Workspace\u0026quot; or \u0026quot;Serverless Adoption Rate,\u0026quot; to measure success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$172,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$237,325 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8394060002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6351272002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Product"],"value_type":"multi_select"}],"id":8394060002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"RDQ427R187","title":"Staff Product Manager - Technical","company_name":"Databricks","first_published":"2026-01-29T06:25:47-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Technical Product Manager\u0026lt;/strong\u0026gt;, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Depending on your background, you will focus on \u0026lt;strong\u0026gt;one of two critical product areas\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;OLTP Databases\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Data Governance\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires you to deeply understand both \u0026lt;strong\u0026gt;functional and non-functional requirements\u0026lt;/strong\u0026gt;, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will act as a bridge between \u0026lt;strong\u0026gt;technical field teams\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;product and engineering\u0026lt;/strong\u0026gt;. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you will have\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify and drive impactful product improvements in your domain of expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape and prioritize a meaningful product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support go-to-market efforts and guide product adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience with a strong, hands-on technical background\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong empathy for customers across full spectrum of Data Platform users\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain expertise in \u0026lt;strong\u0026gt;one\u0026lt;/strong\u0026gt; of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Transactional databases (OLTP), cloud-native databases, or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data governance, data catalogs, lineage, and access management\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python and SQL skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience using AI-assisted development tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with systems design and architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to work effectively across product, engineering, and technical field teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4002453002,"name":"Product","child_ids":[4075076002,4076798002,4078407002],"parent_id":null}],"offices":[{"id":4056371002,"name":"Remote - Colorado","location":"Remote - Colorado","child_ids":[],"parent_id":4056370002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560096002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6419219002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8560096002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"P-1558","title":"Staff Product Operations Manager","company_name":"Databricks","first_published":"2026-05-26T02:18:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;P-1558\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a strong \u0026lt;strong\u0026gt;Support Operations Leader\u0026lt;/strong\u0026gt;, who will serve as the operational leader and strategic partner for the Bangalore support team. You will own critical support operations workflows and rhythms, strengthen coverage across priority support motions, and partner closely with cross-functional teams to improve how support operates at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;An ideal candidate for this role will be a hands-on operational leader with a strong product operations mindset. The candidate will own core support operations rhythms, including shift scheduling, coverage planning, workflow clarity, and operating cadences, while driving cross-functional alignment across Support, Product, Engineering, and R\u0026amp;amp;D Ops to improve team effectiveness and close operational gaps.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This person should be comfortable organizing ambiguity, bringing structure to fast-moving environments, and translating strategy into clear execution. They will act as the trusted day-to-day partner for the support team, help bridge communication and execution gaps across regions, and drive process maturity that measurably improves support readiness and team effectiveness.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own support shift scheduling and coverage planning to ensure the Bangalore team has consistent, effective operational support across priority workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify, prioritize, and close support coverage gaps across teams, regions, and operating hours, and drive clear action plans with leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the day-to-day operational leader and partner for the Bangalore support team, helping translate team priorities into execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish, scale, and continuously improve core support processes, operating cadences, and team workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Support, Product, Engineering, and R\u0026amp;amp;D Ops to drive cross-functional alignment on support workflows, role clarity, playbooks, and execution priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organize and drive key operational workstreams for the team, anticipating roadblocks, tracking dependencies, and keeping work moving through ambiguity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI tools (Claude Code, Glean, Databricks AI assistants, ChatGPT) every day to scale your own throughput - briefing prep, ticket triage, draft comms, root cause exploration, repetitive ops workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Surface recurring operational friction and support pain points, then work cross-functionally to drive durable fixes instead of one-off workarounds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help bridge communication, decision-making, and execution gaps between the Bangalore support team and partner teams in other regions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring a strong product operations lens to support operations by combining process rigor, stakeholder management, and clear operational judgment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10 to 15+ years of experience in product operations, support operations, program management, or a similar cross-functional operational leadership role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing or influencing support operations, workforce planning, shift coverage, or service delivery models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional leadership, with a track record of partnering effectively with Support, Product, Engineering, and Operations teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent and proven ability to manage multiple cross-functional projects with competing priorities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced level of working knowledge of the Google Suite of products (ability to create executive updates, MBR, QBR decks, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI-first working style. You already use Claude Code, ChatGPT, Cursor, Glean, NotebookLM, or similar in your current role, and can give concrete examples of how it\u0026#39;s changed the quality of your output, not just your speed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience establishing or improving processes, operating cadences, workflows, tooling, or role clarity in support or operations environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to create clarity from ambiguity, structure loosely defined problems, and independently drive issues to closure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong judgment, ownership, and a bias for action; someone who rolls up their sleeves and brings plans to life\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical enough to identify patterns and operational gaps, but fundamentally oriented toward execution, operational leadership, and business impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8637368002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6449644002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["People and HR"],"value_type":"multi_select"}],"id":8637368002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"GAQ327R268","title":"Staff Program Manager, People M\u0026A","company_name":"Databricks","first_published":"2026-07-20T20:47:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;GAQ327R268\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks continues to grow organically and through numerous strategic acquisitions. We’re looking to scale our M\u0026amp;amp;A engine to handle high-volume and high-complexity deals. As the Staff Program Manager, you will oversee and lead the \u0026quot;engine room\u0026quot; of our People M\u0026amp;amp;A team, transforming manual workflows, undocumented process, and numerous spreadsheets into a world-class, automated execution machine. You will bridge the gap between Corporate Development and our functional People teams to ensure every \u0026quot;Brickster\u0026quot; joins with a seamless, error-free experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a strategic builder who think from first principles. You don’t just follow a playbook; you engineer the platform that allows us to scale. You are someone who moves seamlessly between detailed strategy and deep-dive execution, energized by the technical complexity of M\u0026amp;amp;A and the fast-paced velocity of our growth.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Standardize the Playbook:\u0026lt;/strong\u0026gt; Operationalize tribal knowledge into a documented, E2E M\u0026amp;amp;A Playbook and Knowledge Hub to eliminate dependency on a small group of experts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Automation:\u0026lt;/strong\u0026gt; Partner with People Tech to design and execute the \u0026quot;Tech Efficiency Roadmap,\u0026quot; utilizing automation and AI into our workflows/deal phases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execution Leadership:\u0026lt;/strong\u0026gt; Lead the People M\u0026amp;amp;A phases of the deal. Manage the complex orchestration of recruiting, IT onboarding, and HR operations from deal disclosure through Day 1.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data Integrity:\u0026lt;/strong\u0026gt; Design and establish \u0026quot;Single Source of Truth\u0026quot; protocols and data ownership matrices to ensure 100% accuracy in employee data across all systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Partnership:\u0026lt;/strong\u0026gt; Act as the primary POC of the People team (TA, Benefits, PeopleOps, People Partners, Global Mobility) to ensure the People M\u0026amp;amp;A priorities are roadmapped, tracked and implemented.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of M\u0026amp;amp;A experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Speed matters, you don\u0026#39;t wait for a playbook; you plan fast, drive alignment and execute\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’re a problem solver, with multiple successful M\u0026amp;amp;A project and process transformations\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical knowledge of People processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, scaling, transforming People workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategy \u0026amp;amp; planning mindset, execution/delivery, influencing executive stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$249,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$211,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$199,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,100\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$249,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$163,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$224,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$211,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$144,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$199,200 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001271002,"name":"People","child_ids":[4050564002,4001020002,4050563002,4050562002,4050565002],"parent_id":4001019002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604954002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436944002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Research"],"value_type":"multi_select"}],"id":8604954002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"P-1567","title":"Staff Research Engineer, Data Agents","company_name":"Databricks","first_published":"2026-06-26T18:22:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Databricks is the Data + AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company\u0026#39;s data is its greatest competitive advantage, and we\u0026#39;re building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Data Agent team within AI Research is dedicated to pioneering frontier enterprise data agents. Our research focuses on developing agents capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings. The team\u0026#39;s primary technical pillars include post-training enhancements, harness design, agentic reinforcement learning (RL), and the construction of specialized RL environments. As a member of this team, you will bridge the gap between cutting-edge AI research and product development by shipping direct improvements to Genie, Databricks\u0026#39; agent product that provides significant value to our user base.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop the best post-training recipes to train enterprise Data agents, that are capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product teams to turn prototypes and research ideas into the best agentic experience for Databricks users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build systems that help the agent discover and use relevant lakehouse context, including tables, notebooks, code, and cell outputs, to produce more accurate and useful results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the technical bar for the team through strong design, execution, debugging, and mentorship, helping shape the long-term direction of agentic experiences at Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS, MS, or PhD in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in an applied research environment, with a track record of shipping research prototypes to production.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in LLMs, agents, reinforcement learning, post-training workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work effectively in a fast-moving environment that blends research exploration with product and engineering rigor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communication and strong cross-functional collaboration with researchers, engineers, and product stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8430837002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6367623002,"location":{"name":"Remote - Washington D.C.; Washington, D.C."},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":8430837002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"P-1528","title":"Staff Security Assurance Engineer ","company_name":"Databricks","first_published":"2026-02-23T20:01:53-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1528\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;As a Staff Security Assurance Engineer within the Security Assurance Team, you will help lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives.\u0026lt;br\u0026gt;You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard our customers.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;This role requires an active Top Secret Clearance, the ability to access and work within a SCIF environment, and residence within the Washington, DC metropolitan area.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Project Outcomes:\u0026lt;/strong\u0026gt; Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, federal authorizations, and compliance initiatives that expand Databricks’ reach across regulated and government markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Accelerate Execution:\u0026lt;/strong\u0026gt; Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Cross-Functional Decision Making:\u0026lt;/strong\u0026gt; Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, Product, and Security teams to reach timely resolutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Optimize Delivery Methodologies:\u0026lt;/strong\u0026gt; Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Precision Program Management:\u0026lt;/strong\u0026gt; Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Strategic Partnerships:\u0026lt;/strong\u0026gt; Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders to ensure seamless alignment on security goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;We are looking for a professional with the following skills and practical experience in:\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Active Top Secret (TS) Clearance\u0026lt;/strong\u0026gt; with the ability to access and work within a SCIF environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Location Requirement:\u0026lt;/strong\u0026gt; Must be located in, or willing to relocate to, the Washington, DC metropolitan area.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proven Expertise:\u0026lt;/strong\u0026gt; 7+ years of experience (with Bachelor’s degree or 5+ years with advanced degree) in security and technical program/project management. Ideally, at a fast-paced, cloud-native organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Ownership:\u0026lt;/strong\u0026gt; Demonstrated success in leading high-stakes security compliance initiatives (e.g., FedRAMP, DoD IL5/IL6, NIST 800-53, CMMC, PCI, HIPAA) from inception to authorization or market.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Complexity Management:\u0026lt;/strong\u0026gt; Experience navigating projects with intricate technical dependencies, multiple stakeholders, and competing constraints with geo-distributed teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Presence:\u0026lt;/strong\u0026gt; Ability to influence and communicate effectively across the spectrum, from deep-dive technical discussions with engineers to high-level briefings for senior leadership and government stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Agility \u0026amp;amp; Continuous Learning:\u0026lt;/strong\u0026gt; A proven track record of rapidly mastering new processes, methodologies, technologies, and security frameworks to meet evolving business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Communication Excellence:\u0026lt;/strong\u0026gt; Superb verbal and written skills, with a knack for translating complex project data into clear, actionable insights and documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Educational Foundation:\u0026lt;/strong\u0026gt; Bachelor’s degree in Computer Science, Information Systems, or a related technical field (or equivalent practical experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Federal Experience Preferred:\u0026lt;/strong\u0026gt; Experience supporting U.S. Government, Defense, Intelligence Community, or other highly regulated environments is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8612870002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6439897002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":8612870002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"RDQ327R181","title":"Staff Security Field Engineer","company_name":"Databricks","first_published":"2026-07-07T19:43:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ327R181\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;The Security Field Engineering team helps data teams solve the world\u0026#39;s toughest problems by empowering customers to understand the security of the Databricks platform and by helping account teams address questions that come up during security reviews. Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white papers, and maybe write code that customers can use. Our team prioritizes scale -- we\u0026#39;d rather spend an hour building a doc than be in ten hours of meetings, rather deliver agent skills and knowledge base articles than be the rock star answering all the questions. If you want high growth, autonomy, and to touch all elements of security, look no further.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership—no one excels in every area, but all are valuable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;When you’re on the call, you will be directly appreciated. When you’re not, your impact will be felt across the company through the enablement, collateral, knowledge management, and systems you build\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes to save customers hours of effort and months of uncertainty\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will identify customer pain points and work with product management and product marketing will improve our product and our messaging\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will contribute to internal-facing services and automation that make life easier for our field staff and our customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are probably already great at AI productivity, but you’ll sit in a group focused on becoming legendary.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6 + years of technical pre-sales or post-sales experience where you\u0026#39;re the person in the room explaining the hard concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equal love of understanding complex security principles and architectures, and of communicating them simply\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Real-world experience in multiple security domains such as IaaS+PaaS+SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM, though not all are needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;ve done some scripting or programming, and are excited to use AI relentlessly to scale our impact across many thousands of customers and employees.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of the Databricks platform is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$194,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$267,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$241,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$165,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$227,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$155,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$214,300 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4007935002,"name":"Minnesota","location":"Minnesota","child_ids":[],"parent_id":4056360002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8026634002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6176201002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":8026634002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"RDQ426R108","title":"Staff Security Software Engineer, AI Security","company_name":"Databricks","first_published":"2025-09-09T15:49:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;RDQ426R108\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;This role is open to candidates in the US (any location)\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About the Team\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The AI Security team at Databricks sits at the frontier of securing the AI/ML services in the Databricks platform. As we ship AI capabilities at the leading edge of the industry, including Agent Bricks, the Genie suite, AI Model Serving, MLflow, and Unity AI Gateway, the AI Security team ensures these systems are designed, built, and operated securely. Our work also extends to securing our own usage of AI: building the right guardrails that enable Databricks employees to innovate and deliver securely.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The team combines offensive security depth with AI/ML engineering knowledge to identify novel threats, build scalable defenses, and influence how AI products are architected from the ground up. We lead AI Red Team exercises, build security tooling for AI workloads, and partner directly with AI Product teams to embed security into the development lifecycle.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Staff Security Software Engineer\u0026lt;/strong\u0026gt; on the AI Security team, you are a senior technical leader who sets the standards for how Databricks secures its AI and ML capabilities. You combine deep offensive security expertise with practical knowledge of AI/ML systems to identify and drive resolution of the most significant security risks in Databricks\u0026#39; AI platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You lead AI red team engagements against production AI systems, conduct security architecture reviews for complex, multi-system AI features, and build the tooling and frameworks that scale the team\u0026#39;s impact. You are a subject matter expert in at least two AI security domains and you operate with significant autonomy- driving cross-team remediation, setting technical standards, and mentoring teammates in both offensive techniques and secure AI design.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Impact You Will Have\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;AI Red Team \u0026amp;amp; Adversarial Testing\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead AI red team engagements against Databricks\u0026#39; production AI systems, including Foundation Model APIs, Genie and natural language query systems, Model Serving infrastructure, MCP-connected agents, and RAG pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and execute adversarial attack scenarios: prompt injection, jailbreaking, memory poisoning, cross-tenant data leakage in multi-tenant serving, and sandbox bypasses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop proof-of-concept exploits for AI-specific vulnerability classes and perform variant analysis to identify the full scope of exposure across the AI platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the evolution of the Databricks AI Security Framework (DASF), maintaining and extending the risk taxonomy, control library, and testing methodology as AI capabilities evolve\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;AI Product Security \u0026amp;amp; Architecture Reviews\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead comprehensive security architecture reviews for complex AI features: threat modeling agentic workflows, RAG pipelines, multi-model serving chains, and MCP-based tool integrations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner directly with AI and ML engineering teams to identify security risks early in the design process and define practical, scalable controls\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assess and drive resolution of cross-cutting AI security risks: Unity Catalog permission enforcement in AI contexts, inference data isolation, model artifact integrity, fine-tuning pipeline security, and external model API governance via AI Gateway\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify recurring security patterns across AI features; advocate for class-level architectural fixes rather than feature-by-feature point solutions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;AI Security Tooling \u0026amp;amp; Automation\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build automated AI security testing tooling, including adversarial prompt libraries, agent behavior analysis frameworks, and continuous testing harnesses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build AI-assisted automation that scales security reviews, threat modeling, and vulnerability triage for AI features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain security guardrails and enforcement mechanisms: LLM-as-judge review, prompt delimiting, output validation, rate limiting, and audit logging\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Cross-Team Remediation \u0026amp;amp; Standards\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set technical standards for how AI security risks are assessed, prioritized, and remediated across the engineering organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive cross-team remediation for significant AI security findings, defining fix requirements, validating patches, and ensuring regression coverage in CI/CD pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce high-quality threat models, security advisories, and post-mortems that inform organizational risk decisions for AI products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Mentorship \u0026amp;amp; Community\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Mentor engineers on the AI Security team in adversarial ML techniques, AI threat modeling, and security tooling development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to internal knowledge assets, including training materials, design patterns, and threat model templates, that raise AI security fluency across the engineering organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks in the external AI security community through publications, conference talks, or open-source contributions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;What We Look For\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7–10 years of combined experience in offensive security, AI/ML security research, or product security engineering, with demonstrated leadership in securing complex systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Subject matter expert in at least two of the following AI security domains:\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;- LLM and generative AI security (prompt injection, jailbreaking, training data extraction)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;- AI agent and orchestration security (MCP, memory sharing, multi-agent systems)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;- ML infrastructure and serving security (model serving multi-tenancy risks, training infrastructure security)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;- AI data governance and privacy (fine-grained access control, data residency, inference data isolation)\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to design and execute adversarial attacks against production AI systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of AI/ML platform architecture- how models are trained, served, and integrated, and where the trust boundaries between components lie\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert in at least one major cloud platform (AWS, Azure, GCP) and its AI/ML security model\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in Python; able to read and analyze ML model code, training scripts, and API serving code; working knowledge of at least one additional language (Go, Java, Scala, Rust)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of driving cross-team AI security improvements and influencing product architecture decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building automated security tooling for AI systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communicator- translates AI security risks into actionable guidance for engineers, product managers, and leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pragmatic approach to risk- distinguishes real-world exploitable AI risk from theoretical concerns\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Nice to Have\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Published research on AI/ML security topics or experience presenting at AI security venues (DEF CON AI Village, NeurIPS workshops, Black Hat)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with OWASP Top 10 for LLMs, MITRE ATLAS, or similar AI security frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with MLflow, Unity Catalog, Delta Lake, or Databricks platform internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;OSCP or equivalent offensive security certification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Academic or research background in machine learning, adversarial ML, or AI safety\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;Why Databricks\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;On the AI Security team, you\u0026#39;ll work on a class of security problem that didn\u0026#39;t exist five years ago, and that the industry is still figuring out. You\u0026#39;ll run red team engagements against a live AI platform used by over 12,000 organizations, build tooling that has no precedent to copy, and drive security decisions that shape how AI products are built across the company. The problems are novel, the stakes are real, and the team working on them is exceptional.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7882009002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6110978002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Security"],"value_type":"multi_select"}],"id":7882009002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"RDQ226R605","title":"Staff Security Software Engineer, AI Security Engineering ","company_name":"Databricks","first_published":"2025-06-06T17:23:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;em\u0026gt;RDQ226R605; This role can be based remotely anywhere in the United States.\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Security Engineering team at Databricks builds the security tools, detection systems, and engineering infrastructure that protect Databricks\u0026#39; AI platform and the AI capabilities our customers depend on. We are the builders — designing and shipping security tooling that scales AI threat detection, automates security assessment of AI systems, and gives Databricks and its customers high-confidence assurance that AI capabilities are operating securely. We sit at the intersection of security engineering and AI systems: we understand how AI systems work, how they can be attacked, and how to build engineering solutions that keep them safe at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Staff Security Software Engineer\u0026lt;/strong\u0026gt; on the AI Security Engineering team, you set the technical direction for AI security engineering at Databricks — defining the architecture, standards, and methodology by which the team builds tooling for AI security assessment, detection, and defense. You are recognized across the Security organization as the authority on AI security engineering: the person engineering leadership consults when AI security tooling decisions have organizational-scale consequences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You operate across team and organizational boundaries — aligning the AI Security Engineering team\u0026#39;s technical roadmap with the detection, GRC, and product security teams that depend on its outputs, and driving AI security engineering standards that the whole security organization can adopt.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;h5\u0026gt;The Impact You Will Have\u0026lt;/h5\u0026gt;\n\u0026lt;h6\u0026gt;AI Security Engineering Architecture\u0026lt;/h6\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define the architecture and technical strategy for Databricks\u0026#39; AI security tooling platform — spanning adversarial testing, behavioral monitoring, threat detection, and automated assessment of AI components\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set engineering standards for the team: design review processes, reliability requirements, observability practices, security properties of the tooling itself, and integration patterns with downstream consumers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the technical decisions on how the team\u0026#39;s systems scale to cover Databricks\u0026#39; growing AI surface, how they integrate with product security and detection pipelines, and what tooling capabilities to build vs. buy vs. open-source\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h6\u0026gt;AI Threat Detection at Scale\u0026lt;/h6\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the design and development of AI platform capabilities that operate at production scale — behavioral analysis of usage, detection of prompt injection attempts, anomaly detection on agentic workflow behavior\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the methodology for AI security assessment: how Databricks systematically evaluates new AI capabilities against a comprehensive threat model before deployment and monitors them continuously after\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive technical strategy for AI red-teaming tooling: automated adversarial testing platforms that simulate how real attackers attempt to abuse Databricks\u0026#39; AI systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h6\u0026gt;Cross-Organizational Technical Leadership\u0026lt;/h6\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the technical authority on AI security engineering for the Product Security, SITH, IR, and ConMon teams — ensuring that AI security tooling outputs integrate cleanly into their workflows and meet their detection and assessment needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent AI Security Engineering in architecture reviews, platform security decisions, and cross-team technical discussions where AI security engineering considerations are material\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish AI security engineering standards that teams building AI-connected systems can adopt — reusable patterns for securing AI components in the Databricks platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h6\u0026gt;Mentorship \u0026amp;amp; Team Capability\u0026lt;/h6\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Mentor senior and mid-level engineers on AI security engineering architecture, adversarial threat modeling, and technical leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead design reviews, define team engineering practices, and drive continuous improvement in the quality and reliability of AI security tooling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;---\u0026lt;/p\u0026gt;\n\u0026lt;h5\u0026gt;What We Look For\u0026lt;/h5\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7–10 years of experience in security software engineering, security engineering, or a closely related discipline; with demonstrated technical leadership of security tooling programs and organizational-level impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert Python engineering: designs and delivers production systems at scale; understands observability, reliability engineering, and how security tooling integrates into larger security operations ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in AI/ML security — adversarial ML, prompt injection, model security, agentic framework trust boundaries — at both a research-informed and engineering-practical level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing security tooling architectures that span multiple teams and systems — not just building features, but defining how the platform is structured, scaled, and maintained\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical communicator: can align engineering and security leadership on architectural direction and drive cross-team adoption of standards and patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of shipping high-quality security tooling that other teams depend on in production\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h5\u0026gt;Nice to Have\u0026lt;/h5\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research contributions or deep familiarity with adversarial ML, AI safety, or AI red-teaming methodology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with MLOps platforms, AI serving infrastructure, or AI platform security at cloud scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI governance standards (NIST AI RMF, ISO/IEC 42001, EU AI Act technical provisions) as they apply to security engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open-source contributions or publications in AI security, adversarial ML, or security tooling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$289,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$397,650 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$260,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$357,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$245,800\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$338,050 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$231,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$318,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4050587002,"name":"Security","child_ids":[4076801002],"parent_id":null}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635182002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448742002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8635182002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"P-1578","title":"Staff Software Engineer, Agentic Applications","company_name":"Databricks","first_published":"2026-07-15T16:27:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1578\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About Us:\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The Role:\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As Staff Software Engineer, Marketing Agents on the Web Engineering team, you will own the architecture and delivery of agents that transform how Databricks creates, publishes, and ships for the web, shifting content operations from a linear, engineering-dependent process to an orchestrated, continuously improving system. You will define how LLM-powered agents participate reliably across marketing content workflows, set the engineering standards the team builds on, and ensure agent output is robust, observable, and production-ready at scale.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the architecture and delivery of agentic workflows that enable marketing to self-serve content creation and publishing across blogs, landing pages, microsites, and social, working directly with marketing stakeholders to understand their workflows, define quality criteria, and build tools they trust and use\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Web Platform Staff Engineer on CMS architecture to ensure the content model supports agent read and write workflows and that agent-generated content is structured for AI-driven discovery at production scale\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and own the agent reliability system for this domain: define output quality criteria per workflow, implement eval suites and behavioral regression testing, and build feedback loops that improve agent output over time based on what marketers approve, edit, and reject\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect human in the loop review as a system property across the full publishing pipeline: proposal and commit separation, diff-based review UI, approval routing, notification system, and audit logging that govern when agents publish autonomously and when human judgment is required\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encode brand, legal, and compliance constraints as enforceable guardrails within agent workflows, ensuring agents operate within defined boundaries without requiring human intervention on every decision\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the Web Products Staff Engineer to ensure agent-generated content meets surface quality and brand standards across databricks.com\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and grow the Senior Engineer on the team, setting the standard for production-grade agentic engineering at Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of software engineering experience with a clear track record of technical ownership on production systems\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building and operating LLM-powered systems in production, and a strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of human in the loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work directly with non-engineering stakeholders to translate workflow requirements into agent architecture\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience mentoring engineers and elevating technical execution across a team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$198,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8532681002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5910895002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Research"],"value_type":"multi_select"}],"id":8532681002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1215","title":"Staff Software Engineer - Agent Quality","company_name":"Databricks","first_published":"2026-04-30T20:33:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h1\u0026gt;Staff Software Engineer - Agent Quality\u0026lt;/h1\u0026gt;\n\u0026lt;h4\u0026gt;P-1215\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company\u0026#39;s data is its greatest competitive advantage, and we\u0026#39;re building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks\u0026#39; AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The impact you will have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;What we look for\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years industry experience building software systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python programming skills, with experience building production or research infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Nice to have\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635188002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6448745002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8635188002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"P-1579","title":"Staff Software Engineer, AI Native Web Platform","company_name":"Databricks","first_published":"2026-07-15T16:30:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Staff Software Engineer, AI-Native Web Platform\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;GAQ327R228\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;About Us:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The Role:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;12+ years of software engineering experience, with a strong track record of technical leadership and impact.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Deep hands-on expertise across the full web stack like React, TypeScript, Node.js.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience sequencing and executing frontend framework migrations without disrupting production\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;A clear point of view on AI-native software development and a track record of building toward it\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with agentic systems or LLM-powered tooling is a strong plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$198,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560783002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6419410002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["IT"],"value_type":"multi_select"}],"id":8560783002,"updated_at":"2026-07-24T19:29:01-04:00","requisition_id":"GAQ327R228","title":"Staff Software Engineer, AI Native Web Platform","company_name":"Databricks","first_published":"2026-06-11T12:06:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Staff Software Engineer, AI-Native Web Platform\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;P-1579\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;About Us:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;The Role:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have\u0026lt;/strong\u0026gt;:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;What we look for:\u0026lt;/span\u0026gt;\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;12+ years of software engineering experience, with a strong track record of technical leadership and impact.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Deep hands-on expertise across the full web stack like React, TypeScript, Node.js.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Experience sequencing and executing frontend framework migrations without disrupting production\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;A clear point of view on AI-native software development and a track record of building toward it\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Familiarity with agentic systems or LLM-powered tooling is a strong plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$198,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$272,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4095718002,"name":"Integration, Data, Engineering and Applications","child_ids":[],"parent_id":4001022002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8509536002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399152002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8509536002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1607","title":"Staff Software Engineer - AI Platform (NYC)   ","company_name":"Databricks","first_published":"2026-04-15T23:20:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1607\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data \u0026amp;amp; AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user \u0026amp;amp; business growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with HTML, CSS, and JavaScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demonstrated product mindset\u0026lt;/strong\u0026gt; with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High ownership and bias for action in 0→1 environments\u0026lt;/strong\u0026gt;: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience building and shipping end-to-end generative AI products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8532682002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5982071002,"location":{"name":"New York City, New York; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8532682002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1183","title":"Staff Software Engineer - AI Research Infrastructure","company_name":"Databricks","first_published":"2026-04-30T20:33:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Staff Software Engineer - AI Research Infrastructure\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;P-1215\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS or PhD in Computer Science or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8552484002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5910895002,"location":{"name":"New York City, New York; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Research"],"value_type":"multi_select"}],"id":8552484002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1215","title":"Staff Software Engineer - AI Research Infrastructure","company_name":"Databricks","first_published":"2026-05-15T14:58:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Staff Software Engineer - AI Research Infrastructure\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;P-1215\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look for\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS or PhD in Computer Science or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$199,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582271002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8582271002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Software Engineer, AI Runtime","company_name":"Databricks","first_published":"2026-06-08T17:32:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1930\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Training and customizing state-of-the-art AI models is one of the most demanding workloads in computing, and it sits at the heart of Databricks\u0026#39; Mosaic AI mission. AI Runtime (AIR) is our managed platform for large-scale GPU training and fine-tuning. It gives customers on-demand access to fleets of the latest accelerators and a serverless experience that hides the complexity of provisioning, scheduling, and orchestrating multi-node jobs, with the resilience to keep training running for days or weeks across thousands of GPUs. AIR powers the full spectrum of custom training, from fine-tuning open models to pre-training frontier-scale foundation models, for some of the most sophisticated AI teams in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer for AI Runtime, you will play a critical role in building and scaling the systems that make large-scale training fast, reliable, and effortless. You will drive the architecture and evolution of the managed GPU training stack, spanning scheduling and capacity, distributed training performance, fault tolerance, and the developer experience of launching and operating jobs at scale. Beyond hands-on contributions to core systems, you will help define the long-term technical vision for AIR, mentor senior engineers, partner across product, research, and platform teams, and lead the initiatives that expand the technical and business impact of custom training at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the architecture and evolution of AIR\u0026#39;s managed GPU training platform, delivering scalable, high-throughput, and resilient training across fleets that span thousands of accelerators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solve the hardest problems in large-scale training, including multi-node orchestration, distributed parallelism strategies, GPU scheduling and dynamic routing, high-throughput data loading, and checkpoint and restore for very long-running jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Push GPU efficiency and training performance, raising utilization (such as model FLOPs utilization and end-to-end throughput) and lowering cost per training run across diverse model architectures and hardware generations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the resilience and observability foundations that keep multi-node jobs healthy, detecting and recovering from hardware and software failures with minimal disruption to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product, research, and platform teams to shape the APIs, CLI, and developer experience that make it easy to launch, monitor, and debug production training jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end engineering efforts, from design through production rollout, holding a high bar for performance, correctness, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make direct, high-impact contributions to the core systems behind AIR, and help bring up support for the latest accelerators and new regions as the fleet grows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion engineering excellence, mentor other engineers through design reviews and technical discussions, and help shape Databricks\u0026#39; long-term technical direction in AI training infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating large-scale distributed systems, with significant depth in GPU training infrastructure, high-performance computing, or ML systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with distributed training frameworks (such as PyTorch, FSDP, DeepSpeed, or Megatron) and the parallelism strategies (data, tensor, pipeline, and sequence parallelism) used to train large models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of training resilience patterns, including checkpointing, failure detection, and automatic recovery for long-running, multi-node jobs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid grasp of GPU performance fundamentals, including accelerator architecture, high-speed interconnects (such as NVLink and InfiniBand or RoCE), collective communication, and the bottlenecks that govern training throughput and utilization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating managed, multi-tenant platform products in the cloud, with clear SLAs and SLOs for availability, performance, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to performance-sensitive, large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create clear customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and the ability to collaborate across product, research, and infrastructure teams in a fast-moving environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic, product-oriented mindset with the ability to align technical execution to a long-term vision, and a passion for mentoring engineers and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or a related field (MS or PhD preferred).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$265,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8578177002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8578177002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Software Engineer, AI Search","company_name":"Databricks","first_published":"2026-06-04T01:54:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ427R351\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer for Search, you’ll play a critical role in building and scaling our next-generation Search product — spanning Vector Search, Keyword Search, and Search Quality. You’ll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you’ll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and solve challenges in indexing, storage, query execution, and ranking — blending innovations in vector search, keyword search, and hybrid retrieval techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with infrastructure, product, and research teams to shape APIs and developer experiences that make it easy to build production-grade, AI-powered and search-driven applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end engineering efforts — from design to production rollout — ensuring high standards for performance, correctness, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make direct, high-impact contributions to core systems powering search, discovery, and recommendation experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion software engineering excellence and mentor other engineers through design reviews, technical discussions, and collaborative development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to long-term planning and influence Databricks’ technical direction in search, AI infrastructure, and data systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in Search technologies (vector, keyword, hybrid) and related domains such as indexing, ranking, retrieval infrastructure, and relevance optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with storage systems, recommendation engines, and database internals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale retrieval and data systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading architecture for performance-sensitive, large-scale systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$166,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5408888002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4937656002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5408888002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-150","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2022-12-27T16:26:03-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-150\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example teams you can join:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Science and Machine Learning Infrastructure:\u0026lt;/strong\u0026gt; Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compute Fabric\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Enterprise Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the \u0026quot;land and expand\u0026quot; strategy for enterprise customers.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Observability\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Service Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Infra:\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt; Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in architecting, developing, deploying, and operating large scale distributed systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Good knowledge of SQL.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with software security and systems that handle sensitive data.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7984907002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930292002,"location":{"name":"Berlin, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7984907002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1328","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2025-05-06T10:19:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1328\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4005271002,"name":"Berlin, Germany","location":"Berlin, Germany","child_ids":[],"parent_id":4033553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6779232002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5568119002,"location":{"name":"Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6779232002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-940","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2024-07-03T14:45:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-940\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;(Position Location is open to both our Seattle \u0026amp;amp; Bellevue offices.)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example teams you can join:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Science and Machine Learning Infrastructure:\u0026lt;/strong\u0026gt; Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compute Fabric\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Enterprise Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the \u0026quot;land and expand\u0026quot; strategy for enterprise customers.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Observability\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Service Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Infra:\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt; Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in architecting, developing, deploying, and operating large scale distributed systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Good knowledge of SQL.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with software security and systems that handle sensitive data.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6779233002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5568119002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6779233002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-940","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2023-05-31T20:30:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-940\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;(Position Location is open to both our Seattle \u0026amp;amp; Bellevue offices.)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example teams you can join:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Science and Machine Learning Infrastructure:\u0026lt;/strong\u0026gt; Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compute Fabric\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Enterprise Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the \u0026quot;land and expand\u0026quot; strategy for enterprise customers.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Observability\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Service Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Infra:\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt; Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in architecting, developing, deploying, and operating large scale distributed systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Good knowledge of SQL.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with software security and systems that handle sensitive data.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8320187002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6119106002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8320187002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1385","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2025-12-03T00:14:44-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1385\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we\u0026#39;re only getting started in \u0026lt;strong\u0026gt;Bengaluru , India\u0026lt;/strong\u0026gt; - across \u0026lt;strong\u0026gt;10 new teams\u0026lt;/strong\u0026gt; that we\u0026#39;re setting up from scratch !\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer at Databricks India, you can get to work across :\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;- Backend\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;- DDS (Distributed Data Systems)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;- Full Stack\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;1. Our \u0026lt;strong\u0026gt;Backend\u0026lt;/strong\u0026gt; teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;2. Our \u0026lt;strong\u0026gt;DDS \u0026lt;/strong\u0026gt;team spans across:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Plane Storage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Delta Pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Engineering\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;3. As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;12+ years\u0026lt;/strong\u0026gt; of production level experience in one of: Python, Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012814002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170339002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012814002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1416","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2025-05-28T09:58:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1416\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop product features that empower our customers to easily store and access their data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of production level experience in one of: Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of SQL\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8029674002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5930787002,"location":{"name":"Amsterdam, Netherlands"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8029674002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1319","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2025-06-08T19:00:28-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1319\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000546002,"name":"Amsterdam, Netherlands","location":"Amsterdam, Netherlands","child_ids":[],"parent_id":4033859002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544443002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4937656002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544443002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-150","title":"Staff Software Engineer - Backend","company_name":"Databricks","first_published":"2022-12-27T16:26:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-150\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example teams you can join:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Science and Machine Learning Infrastructure:\u0026lt;/strong\u0026gt; Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compute Fabric\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Enterprise Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the \u0026quot;land and expand\u0026quot; strategy for enterprise customers.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Observability\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Service Platform\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Infra:\u0026lt;/strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt; Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Competencies\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience in architecting, developing, deploying, and operating large scale distributed systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Good knowledge of SQL.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with software security and systems that handle sensitive data.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8093293002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6204896002,"location":{"name":"Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8093293002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1441","title":"Staff Software Engineer - Backend ","company_name":"Databricks","first_published":"2025-07-25T17:07:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1441\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Vancouver will be the newest R\u0026amp;amp;D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Log Analytics\u0026lt;/strong\u0026gt; - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI/BI \u0026lt;/strong\u0026gt;- \u0026lt;a href=\u0026quot;https://www.databricks.com/product/business-intelligence\u0026quot;\u0026gt;AI/BI\u0026lt;/a\u0026gt; is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unity Catalog Business Semantics \u0026lt;/strong\u0026gt;- Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databricks Apps - \u0026lt;/strong\u0026gt;Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with security and systems that handle sensitive data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$173,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$238,350 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4011975002,"name":"Vancouver, Canada","location":"Vancouver, Canada","child_ids":[],"parent_id":4056353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8374611002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6343608002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8374611002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1514","title":"Staff Software Engineer - Backend ","company_name":"Databricks","first_published":"2026-01-29T07:28:00-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1514\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we are passionate about \u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You\u0026#39;ll join as one of the founding engineers to build out both the Lakebase product and our London presence.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;Below are some example teams you can join:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lakebase Platform Reliability\u0026lt;/strong\u0026gt;: Constantly evolving Lakebase Reliability. \u0026amp;nbsp;That includes cross-functional infrastructure, observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lakebase Manager (LBM):\u0026lt;/strong\u0026gt; \u0026lt;/strong\u0026gt;Build and operate the central control plane that owns the core logic for Lakebase — database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component — storage, compute, proxy, and console — managing the full database lifecycle at scale with a focus on reliability.\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Lakebase Proxy:\u0026lt;/strong\u0026gt; \u0026lt;/strong\u0026gt;Build the heart of the Lakebase data path — the network edge that every customer touches. The proxy handles all client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and Data API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high throughput. We focus on performance, observability, and reliability to ensure the data path is fast and resilient.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2034\u0026quot;\u0026gt;Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop product features that empower our customers to easily store and access their data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solve reliability problems related to Lakebase.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Actively find causes of downtime and systematically improve or remove root causes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help the org define SLIs, meet SLOs, and drive long-term reliability improvements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS degree (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of production level experience in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7642799002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6006201002,"location":{"name":"Aarhus, Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7642799002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1344","title":"Staff Software Engineer - Backend  ","company_name":"Databricks","first_published":"2024-09-17T14:46:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1344\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Supporting Databricks\u0026#39; growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of professional software development experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in one or more backend languages such as Java, Scala, or Go.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience in developing and operating large-scale, critical distributed backend systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-driven and passionate with a strong focus on delivering impact through team collaboration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4086869002,"name":"Aarhus, Denmark","location":"Aarhus, Denmark","child_ids":[],"parent_id":4018697002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8579135002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6373848002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8579135002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"RDQ427R175","title":"Staff Software Engineer, Compute Infrastructure","company_name":"Databricks","first_published":"2026-06-04T14:32:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ427R175\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer and Tech Lead on the Compute Infra team, you will design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop the \u0026lt;strong\u0026gt;compute abstractions\u0026lt;/strong\u0026gt; that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design the \u0026lt;strong\u0026gt;workload orchestration and scheduling systems\u0026lt;/strong\u0026gt; that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale the \u0026lt;strong\u0026gt;fleet management systems\u0026lt;/strong\u0026gt; that launch and configure millions of VMs every day across cloud providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-team initiatives that span product and infrastructure surface areas.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience designing and building large-scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in one or more languages such as Java, Scala, Go, or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with service-oriented architectures and large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of shipping infrastructure that supports mission-critical workloads at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,600 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6716344002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5538594002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6716344002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-375","title":"Staff Software Engineer (Core Experiences) ","company_name":"Databricks","first_published":"2025-03-06T11:26:43-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-375\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks\u0026#39; growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking exceptional technical leaders with a stellar track record to drive these transformative efforts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your role will be crucial in:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Complete ownership of multiple platforms: \u0026lt;/strong\u0026gt;You will be responsible for defining and owning execution on a few dimensions of critical importance for the company: scalability, pjatformization, reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platformize serving infrastructure\u0026lt;/strong\u0026gt;: Design abstractions that can support a wide range of current as well as emerging use cases (such as AI), determine the right tradeoffs and build consensus across Databricks to create as well as scale seamless product experiences for customers. Drive cross org impact, collaborate and build consensus among different stakeholders across several functions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Re-architecting Platforms for scale\u0026lt;/strong\u0026gt;: Redesign our existing systems to handle 10X to 100X increase in scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build amazing developer experience\u0026lt;/strong\u0026gt;: Revolutionize platform onboarding to cut down time from weeks to mere hours, enhancing efficiency and user experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Developing Impactful Features\u0026lt;/strong\u0026gt;: Create features that significantly enhance both product functionality and end-user experience, driving meaningful improvements across Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Fostering Engineering Excellence\u0026lt;/strong\u0026gt;: Cultivate a strong engineering culture focused on quality and productivity, setting a high standard for the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentoring Future Leaders\u0026lt;/strong\u0026gt;: Act as a role model for junior team members, guiding their growth and development.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8032546002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4937656002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8032546002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-150","title":"Staff Software Engineer - Customer Engagement \u0026 Docs Platform","company_name":"Databricks","first_published":"2025-06-10T19:44:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who we are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our AI-powered Assistant serves as the initial point of contact for customers seeking assistance on how to use our platform effectively. The Customer Engagement and Docs platform team\u0026#39;s objective is to help customers resolve their problems faster using AI / LLMs.\u0026amp;nbsp; We provide customers with precise and comprehensive solutions to their problems or build experiences to facilitate a seamless escalation to a support agent when necessary.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. Responsibilities include gaining a deep understanding of user behavior; identifying factors contributing to problems; leveraging Product, Machine Learning (ML) and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment and eventually providing a path to resolving them.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead design, development, and deployment of systems for Evaluation, Answer retrieval and Quality improvement for helping customers.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver high-quality, production-ready code and services end-to-end — including performance tuning, resiliency improvements, and debugging in live environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of industry experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The capacity to define and structure solutions in ambiguous problem domains.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to mentor and guide junior engineers, as well as to effectively collaborate across various team boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with retrieval systems and search technologies is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8416959002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6361788002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8416959002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"P-1652","title":"Staff Software Engineer – Customer Experience Intelligence (CXI)","company_name":"Databricks","first_published":"2026-02-24T20:06:07-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1652\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Staff Technical Lead (TL) for Customer Experience Intelligence,\u0026amp;nbsp;you will architect and deliver Databricks\u0026#39; AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect the Agentic Ecosystem:\u0026lt;/strong\u0026gt; Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale across multiple domains: \u0026lt;/strong\u0026gt;Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineered Reliability:\u0026lt;/strong\u0026gt; Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Complex Workflows:\u0026lt;/strong\u0026gt; Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise-Grade Observability:\u0026lt;/strong\u0026gt; Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Leadership:\u0026lt;/strong\u0026gt; Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the Bar:\u0026lt;/strong\u0026gt; Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and Cultivate:\u0026lt;/strong\u0026gt; Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and API’s\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive full stack development experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success designing and deploying production-grade automation in complex technical environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with ML-assisted systems, decision support, or agentic automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8584144002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6428702002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8584144002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"P-1691","title":"Staff Software Engineer- CXI","company_name":"Databricks","first_published":"2026-07-15T18:19:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1691\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks\u0026#39; AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect the Agentic Ecosystem:\u0026lt;/strong\u0026gt; Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale across multiple domains: \u0026lt;/strong\u0026gt;Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineered Reliability:\u0026lt;/strong\u0026gt; Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Orchestrate Complex Workflows:\u0026lt;/strong\u0026gt; Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise-Grade Observability:\u0026lt;/strong\u0026gt; Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Leadership:\u0026lt;/strong\u0026gt; Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the Bar:\u0026lt;/strong\u0026gt; Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Mentor and Cultivate:\u0026lt;/strong\u0026gt; Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive backend development experience designing, building, and maintaining high-throughput production systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$164,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$225,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003101002,"name":"Support","child_ids":[],"parent_id":4001015002}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544386002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5044443002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544386002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-188","title":" Staff Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2023-04-13T17:54:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-188\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience working in a related system (preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012818002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170339002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012818002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1416","title":"Staff Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2025-05-28T09:58:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;P-1416\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The responsibilities you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive requirements clarity and design decisions for ambiguous problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce technical design documents and project plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop new features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor more junior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test and rollout to production, monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-oriented and focused on having an impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience working in a related system\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5646866002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5044443002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5646866002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-188","title":"Staff Software Engineer - Database Engine Internals","company_name":"Databricks","first_published":"2023-04-13T17:54:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-188\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (\u0026lt;a href=\u0026quot;http://cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;CIDR 2021 paper\u0026lt;/a\u0026gt;), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation and optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized execution engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encodings, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience working in a related system (preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: PhD in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7601565002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5538594002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7601565002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-375","title":"Staff Software Engineer - Databases","company_name":"Databricks","first_published":"2024-08-19T05:38:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-375\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we build powerful infrastructure that accelerates innovation and enables data teams to deliver with confidence and scale. Our unified schema migration platform underpins automated, observable, and developer-friendly workflows—ensuring Databricks can continue evolving rapidly across thousands of databases and 60+ mission-critical services.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer, you’ll lead the design, development, and reliability of our global platform that manages schema and data changes at scale:\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Schema Migration Platform:\u0026lt;/strong\u0026gt; Architecting and maintaining automated schema change infrastructure for MySQL and TiDB, while implementing versioning, rollback, validation, and auditing for safe, predictable, and fast migrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale, Reliability \u0026amp;amp; Test Harness:\u0026lt;/strong\u0026gt; Ensuring the platform operates across thousands of global databases with zero downtime, enhancing resilience, observability, and recovery, and building a test harness for migration and deployment validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Developer Experience \u0026amp;amp; CI/CD Integration:\u0026lt;/strong\u0026gt; Designing intuitive tools and APIs for seamless schema and data change management, and embedding migration workflows into CI/CD pipelines to increase velocity and reduce friction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Schema \u0026amp;amp; Data management: \u0026lt;/strong\u0026gt;Designing infrastructure for safe, large-scale schema and data operations like backfills and purging. This includes ensuring backfill operations are monitored, retryable, minimally disruptive, and automated to align with schema/data evolution and maintain data integrity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your role will be crucial in:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensuring the\u0026amp;nbsp;\u0026lt;strong\u0026gt;scalability and reliability\u0026lt;/strong\u0026gt; of schema and data operations across Databricks’ global footprint.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Driving\u0026amp;nbsp;\u0026lt;strong\u0026gt;predictable deployments\u0026lt;/strong\u0026gt; by architecting robust test harnesses and automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Elevating the \u0026lt;strong\u0026gt;developer experience\u0026lt;/strong\u0026gt; by building accessible, resilient tools that make complex migrations feel simple.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guaranteeing the integrity of both schema and data through safe, efficient backfill strategies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of professional experience in backend systems or platform engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in \u0026lt;strong\u0026gt;building platforms, infrastructure,\u0026lt;/strong\u0026gt; or \u0026lt;strong\u0026gt;database engineering\u0026lt;/strong\u0026gt;, especially with \u0026lt;strong\u0026gt;MySQL\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;TiDB\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building and scaling \u0026lt;strong\u0026gt;mission-critical platforms\u0026lt;/strong\u0026gt; supporting high-throughput, global services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with schema migration frameworks, CI/CD automation and developer tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion of \u0026lt;strong\u0026gt;developer experience\u0026lt;/strong\u0026gt;, creating clear, reliable, and user-friendly workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7601572002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5538594002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7601572002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-375","title":"Staff Software Engineer - Data Platform","company_name":"Databricks","first_published":"2024-08-19T05:43:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-375\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science or related majors, or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of industry experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience providing technical leadership on planet-scale production data systems\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strategic mindset with the ability to align engineering execution with longer-term product and company goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring and developing other engineers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7652016002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6008256002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7652016002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1348","title":"Staff Software Engineer (Data Platform)","company_name":"Databricks","first_published":"2024-09-23T05:36:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1348\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer working on the\u0026lt;strong\u0026gt; Data Platform team\u0026lt;/strong\u0026gt; you will help build the \u0026lt;strong\u0026gt;Data Intelligence Platform\u0026lt;/strong\u0026gt; for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning \u0026lt;strong\u0026gt;logging, orchestration, data transformation, metric store, governance platforms, data consumption layers\u0026lt;/strong\u0026gt; etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design the base ETL framework used by all pipelines developed at the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;12+ years of industry experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience building large scale distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building, shipping and operating reliable multi-geo data pipelines at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent cross-functional and communication skills, consensus builder.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for data infrastructure and for enabling others by making their data easier to access.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=5646855002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5044439002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":5646855002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-186","title":"Staff Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2023-04-13T17:55:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-186\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Apache Spark™\u0026lt;/strong\u0026gt;: Develop the de facto open source standard framework for big data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Lake\u0026lt;/strong\u0026gt;: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Pipelines\u0026lt;/strong\u0026gt;: It\u0026#39;s difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test \u0026amp;amp; upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;: Build the next generation query optimizer and execution engine that\u0026#39;s fast, tuning free, scalable, and robust.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: MS or PhD in databases, distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Driven by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8012831002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6170339002,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8012831002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1416","title":"Staff Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2025-05-28T09:58:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1416\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about helping data teams solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer, you will join as a founding member of the not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The responsibilities you will have\u0026lt;/strong\u0026gt;:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive requirements clarity and design decisions for ambiguous problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce technical design documents and project plans\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop new features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor more junior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test and rollout to production, monitoring.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science or equivalent practical experience in databases or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of production level experience in either Java, Scala or C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid foundation in algorithms and data structures and their real-world use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4059154002,"name":"Belgrade, Serbia","location":"Belgrade, Serbia","child_ids":[],"parent_id":4058553002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6937001002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":5641035002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6937001002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-988","title":"Staff Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2023-12-11T15:53:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-988\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Apache Spark™\u0026lt;/strong\u0026gt;: Develop the de facto open source standard framework for big data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Lake\u0026lt;/strong\u0026gt;: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Pipelines\u0026lt;/strong\u0026gt;: It\u0026#39;s difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test \u0026amp;amp; upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;: Build the next generation query optimizer and execution engine that\u0026#39;s fast, tuning free, scalable, and robust.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=6544364002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5044439002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":6544364002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-186","title":"Staff Software Engineer - Distributed Data Systems","company_name":"Databricks","first_published":"2023-04-13T17:55:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-186\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Below are some example projects:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Apache Spark™\u0026lt;/strong\u0026gt;: Develop the de facto open source standard framework for big data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Plane Storage\u0026lt;/strong\u0026gt;: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Lake\u0026lt;/strong\u0026gt;: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Delta Pipelines\u0026lt;/strong\u0026gt;: It\u0026#39;s difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test \u0026amp;amp; upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;: Build the next generation query optimizer and execution engine that\u0026#39;s fast, tuning free, scalable, and robust.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science, related technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optional: MS or PhD in databases, distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Driven by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of production level experience in either Java, Scala or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8224683002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6180325002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8224683002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1428","title":"Staff Software Engineer, Foundational Model Serving","company_name":"Databricks","first_published":"2025-10-23T14:21:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Foundation Model Serving is the API Product for hosting and serving frontier AI model inference for open source models like Llama, Qwen, and GPT OSS as well as proprietary models like Claude and OpenAI GPT. For this role, no prior ML or AI experience is necessary. We’re looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer, you’ll play a critical role in shaping both the product experience and core infrastructure. You will design and build systems that enable high-throughput, low-latency inference on GPU workloads with frontier models, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class foundation model API product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — ensuring smooth and efficient operations at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading high-scale operationally sensitive backend systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of up-leveling teams engineering excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8649279002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8649279002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Software Engineer- Foundation Model Inference","company_name":"Databricks","first_published":"2026-07-24T12:49:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1930\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data and AI teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the AI team, you\u0026#39;ll build the platforms and products that power everything from data apps, AI agents, model training, model serving, and Vector Search. You\u0026#39;ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We\u0026#39;re building the products and infrastructure that power the next generation of AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve reliability, latency, and efficiency of distributed AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape how developers and data scientists build and interact with AI on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in backend or infrastructure engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, scalable APIs, or cloud-native infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time serving, ML infrastructure, or GPU orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with service-oriented architecture, deployment pipelines, and system observability\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Bonus points for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to platforms like SageMaker, Vertex AI, or Azure ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Built developer platforms or internal tools supporting AI workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$265,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8637143002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6340297002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8637143002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1930","title":"Staff Software Engineer, Foundation Model Inference ","company_name":"Databricks","first_published":"2026-07-16T14:21:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;P-1930\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data and AI teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the AI team, you\u0026#39;ll build the platforms and products that power everything from data apps, AI agents, model training, model serving, and Vector Search. You\u0026#39;ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We\u0026#39;re building the products and infrastructure that power the next generation of AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring across multiple teams in our AI Engineering org, including the \u0026lt;strong\u0026gt;FMAPI (Foundation Model APIs)\u0026lt;/strong\u0026gt; team — the unified serving layer for large language models across real-time and batch inference, powering model inference at enterprise scale. We are looking to hire high-agency engineers who bridge the gap between technical execution and product strategy.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape the direction of the FMAPI product — from roadmap to execution — by leveraging deep customer empathy and direct engagement with enterprise users and model providers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve reliability, latency, and efficiency of distributed AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape how developers and data scientists build and interact with AI on Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in backend or infrastructure engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed systems, scalable APIs, or cloud-native infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product and ownership mindset, with a focus on shipping user-facing value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time serving, ML infrastructure, or GPU orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with service-oriented architecture, deployment pipelines, and system observability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Scala, Go, or Python\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Bonus points for:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to platforms like SageMaker, Vertex AI, or Azure ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Built products that support AI workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$265,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8384595002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6346830002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8384595002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"P-1980","title":"Staff Software Engineer - Frontend (NYC)","company_name":"Databricks","first_published":"2026-01-21T14:56:51-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1980\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data \u0026amp;amp; AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you’ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, design and other engineering teams to build intuitive and extensible products that drive user \u0026amp;amp; business growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead by example with hands-on front-end and full-stack software development while working with customers directly to create dynamic, user-centric experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10 years of experience with HTML, CSS, and JavaScript or similar technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demonstrated product mindset\u0026lt;/strong\u0026gt; with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High ownership and bias for action in 0→1 environments\u0026lt;/strong\u0026gt;: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with server-side web technologies (eg Node.js or similar), SQL and Spark\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4033547002,"name":"New York","location":"New York","child_ids":[4000553002,4056377002],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8099343002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6208070002,"location":{"name":"Vancouver, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8099343002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1444","title":"Staff Software Engineer - Fullstack","company_name":"Databricks","first_published":"2025-07-30T22:40:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1444\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\u0026#39;ll set the foundation for how we build robust, scalable and delightful products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Vancouver will be the newest R\u0026amp;amp;D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Log Analytics\u0026lt;/strong\u0026gt; - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI/BI \u0026lt;/strong\u0026gt;-\u0026lt;a href=\u0026quot;https://www.databricks.com/product/business-intelligence\u0026quot;\u0026gt; AI/BI\u0026lt;/a\u0026gt; is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unity Catalog Business Semantics \u0026lt;/strong\u0026gt;- Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Databricks Apps - \u0026lt;/strong\u0026gt;Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with HTML, CSS, and JavaScript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for user experience and design and a deep understanding of front-end architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Good knowledge of SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Canada Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$173,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$238,350 CAD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4011975002,"name":"Vancouver, Canada","location":"Vancouver, Canada","child_ids":[],"parent_id":4056353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8509534002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6399152002,"location":{"name":"New York City, New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8509534002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1607","title":"Staff Software Engineer, Fullstack - AI Product (NYC)","company_name":"Databricks","first_published":"2026-04-15T23:20:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1607\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data \u0026amp;amp; AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user \u0026amp;amp; business growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices within the team \u0026amp;amp; Databricks more widely for building valuable, AI products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with HTML, CSS, and JavaScript\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demonstrated product mindset\u0026lt;/strong\u0026gt; with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High ownership and bias for action in 0→1 environments\u0026lt;/strong\u0026gt;: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8202698002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6251059002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8202698002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"P-1285","title":"Staff Software Engineer - GenAI inference","company_name":"Databricks","first_published":"2025-10-08T00:03:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1285\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About This Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You Will Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and drive the architecture, design, and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the end-to-end optimization for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and guide standards to build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally on Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive cross-team collaboration: with platform engineers, cloud infrastructure, and security/compliance teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the team externally through benchmarks, whitepapers, and open-source contributions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering background (6+ years or equivalent) in performance-critical systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of owning complex system components and driving architectural decisions end-to-end\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in distributed systems design, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building instrumentation, tracing, and profiling tools for ML models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to lead through influence - work closely with ML researchers, translate novel model ideas into production systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and leadership skills, with a proactive and ownership-driven mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$232,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8202700002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6251059002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8202700002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"P-1285","title":"Staff Software Engineer - GenAI Performance and Kernel","company_name":"Databricks","first_published":"2025-10-08T00:06:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1285\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About This Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering. You will work closely with ML researchers, systems engineers, and product teams to push the state-of-the-art in inference performance at scale.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You Will Do\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the design, implementation, benchmarking, and maintenance of core compute kernels (e.g. attention, MLP, softmax, layernorm, memory management) optimized for various hardware backends (GPU, accelerators)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate kernel optimizations with higher-level ML systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Influence system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide other engineers working on lower-level performance, provide code reviews, help set best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitor their impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reasoning about numerical stability, mixed precision, quantization, and error propagation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building high-performance products leveraging GPU acceleration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and leadership skills — able to drive design discussions, mentor colleagues, and make trade-offs visible\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of shipping performance-critical, high-quality production software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$232,800 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7994790002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787576002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7994790002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1126","title":"Staff Software Engineer - IAM","company_name":"Databricks","first_published":"2025-05-13T11:39:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1126\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$181,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7994801002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787576002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7994801002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1126","title":"Staff Software Engineer - IAM","company_name":"Databricks","first_published":"2025-05-13T11:41:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1126\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$274,700 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115424002,"name":"Executive Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7648674002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6008221002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7648674002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1346","title":"Staff Software Engineer (Infrastructure)","company_name":"Databricks","first_published":"2024-09-20T07:28:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1346\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we\u0026#39;re only getting started in \u0026lt;strong\u0026gt;Bengaluru , India\u0026lt;/strong\u0026gt;\u0026amp;nbsp; - and currently in the process of setting up \u0026lt;strong\u0026gt;14 new teams from scratch\u0026lt;/strong\u0026gt; !\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a \u0026lt;strong\u0026gt;Staff Software Engineer\u0026lt;/strong\u0026gt; at Databricks India, you can get to work across\u0026amp;nbsp; :\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;- Backend (Infrastructure)\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;Our \u0026lt;strong\u0026gt;Infrastructure\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;Backend\u0026lt;/strong\u0026gt; teams span many domains across our essential service platforms. For instance, you might work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;12+ years\u0026lt;/strong\u0026gt; of production level experience in one of: Python, Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;6+ years\u0026lt;/strong\u0026gt; experience developing large-scale distributed systems from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on Infrastructure related projects is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8201686002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6135215002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8201686002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1403","title":"Staff Software Engineer - Ingestion","company_name":"Databricks","first_published":"2025-10-07T11:29:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1403\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong influencer or driver in the organization’s roadmap and direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8200692002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5538594002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8200692002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-375","title":"Staff Software Engineer - Ingestion","company_name":"Databricks","first_published":"2025-10-07T08:12:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-375\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve real business needs at large scale by applying your software engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low level systems debugging, performance measurement \u0026amp;amp; optimization on large production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build architecture design, influence product roadmap, and take ownership and responsibility over new projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use your deep experience to help prevent and investigate production issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan and lead complicated technical projects that work with several teams within the company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong influencer or driver in the organization’s roadmap and direction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years industry experience building and supporting large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms and data structures and their real-world use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving company initiatives towards customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476582002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6385837002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":[],"value_type":"multi_select"}],"id":8476582002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"P-1536","title":"Staff Software Engineer (L6) - Partner Ecosystem","company_name":"Databricks","first_published":"2026-05-26T01:50:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P- 1536\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Partner Ecosystem team’s mission at Databricks is to enrich and win customer workloads through seamless integrations with strategic partners, while also widening the partner ecosystem to include new partners and data applications. This team enables seamless connectivity between Databricks and a vast range of partner applications through SQLDrivers. This vital data integration work powers the majority of the company’s Data Warehousing revenue by allowing customers to effortlessly connect their applications to Databricks SQL. In addition to that, through products like Databricks Partner Connect, we are simplifying the discovery and integration process, allowing you to seamlessly incorporate your preferred tools directly within the Databricks platform.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an experienced Staff / Sr Staff Engineer to join our Partner Ecosystem team. In this role, you will design, develop, and maintain SQL drivers that power the majority of the data warehousing traffic and critical infrastructure components that power our partner integrations. You\u0026#39;ll focus on optimizing SQLDrivers for performance, improved reliability and telemetry to offer seamless connectivity to our partners and enterprise customers, while also maintaining open source repositories and actively engaging with the developer community. You will collaborate with cross-functional teams to define technical requirements, architect solutions, and implement robust systems that enable our partners to connect seamlessly to the Databricks platform, ultimately driving Data Warehousing revenue and customer satisfaction.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer working on the Partner Ecosystem team, you will get to build and evolve a set of highly performant and resilient Databricks SQL connectors for partners and enterprise customers enabling them to connect to Databricks SQL seamlessly and derive meaningful insights from data. In addition to that, you will get to evolve our Partner Connect offering, helping grow the elite partner ecosystem within Databricks.You will achieve this by being customer obsessed, raising the bar on open source community engagement, being hands-on in building the product, closely collaborating with the product team. You’ll work on challenges such as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Building reliable SQL connectors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage and grow the open source community around SQL connectors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with the SQL server teams, delivering new features to the SQL connectors, as per customer needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with product team to shape the future of Partner Connect, thus growing the partner ecosystem around Databricks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What We Look For\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BTech (or higher) in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of production level experience in one of: Java, Python, Go, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-quarter vision with incremental deliverables\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record in architecting, developing, deploying, and operating highly performant systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with open source communities through maintaining or contributing to open source repositories\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead engineering projects across functional and organizational boundaries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to navigate ambiguity and work with stakeholders to bring clarity and design innovative solutions to complex problems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7958982002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6146682002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7958982002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1408","title":"Staff Software Engineer - Machine Learning (Search)","company_name":"Databricks","first_published":"2025-04-15T13:16:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1408\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products\u0026lt;/strong\u0026gt;. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As our Search product continues to evolve, we are seeking a \u0026lt;strong\u0026gt;Staff Engineer \u0026lt;/strong\u0026gt;to lead enhancements to our Search Quality. In 2025, we will focus on \u0026lt;strong\u0026gt;enhancing search ranking, improving query understanding, building robust evals\u0026lt;/strong\u0026gt; and growing the coverage of assets to enable seamless search at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the \u0026lt;strong\u0026gt;development and deployment of ML based search and discovery relevance models\u0026lt;/strong\u0026gt; and systems integrated with Databricks\u0026#39; products and services.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS+ (M.S. or PhD preferred) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years experience developing search relevance systems at scale in production or in high-impact research environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying LLM to search relevance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in one or more of the following:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query understanding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;NLP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Text mining\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Personalization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Discovery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversational AI\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of computer science fundamentals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to well-used open-source projects.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Us?\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8298247002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6311593002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8298247002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"RDQ426R299","title":"Staff Software Engineer, Metrics and Logging","company_name":"Databricks","first_published":"2025-11-19T13:19:14-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;RDQ426R299\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;br\u0026gt;At Databricks, we are passionate about\u0026amp;nbsp;\u0026lt;span id=\u0026quot;ef38f88f0bfe2e7aa42b1bba8318c812\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;enabling data teams to solve\u0026lt;/span\u0026gt; the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to \u0026lt;span id=\u0026quot;191e3b79e7e7b242db0a78385bd26bd2\u0026quot; class=\u0026quot;editor-module-hl-yellow-solid\u0026quot;\u0026gt;tackle\u0026lt;/span\u0026gt; technical challenges, from designing next-gen UI/UX for \u0026lt;span id=\u0026quot;440818e05298ba05f20707990a9f034b\u0026quot; class=\u0026quot;editor-module-hl-blue-solid\u0026quot;\u0026gt;interfacing\u0026lt;/span\u0026gt; with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;Logging Platform\u0026lt;/strong\u0026gt; team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve reliability and cost-efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience in software development, in large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving complex projects involving multiple teams and stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with log collection, health monitoring, and observability tools.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8211647002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6180325002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8211647002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1428","title":"Staff Software Engineer, Model Serving ","company_name":"Databricks","first_published":"2025-10-14T17:00:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building and operating large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7654349002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6008221002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7654349002,"updated_at":"2026-07-24T19:28:47-04:00","requisition_id":"P-1346","title":"Staff Software Engineer (Money)","company_name":"Databricks","first_published":"2024-09-24T04:56:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1346\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Money team\u0026#39;s mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely \u0026amp;amp; accurate billing,\u0026amp;nbsp; cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As one of the \u0026lt;strong\u0026gt;first engineers for Money at Databricks India\u0026lt;/strong\u0026gt;, you will be key to \u0026lt;strong\u0026gt;building a base for one of Databricks’ most central engineering teams\u0026lt;/strong\u0026gt;. You will own critical components that form the backbone of our products, starting with \u0026lt;strong\u0026gt;Databricks’ resource admission control and usage governance infrastructure\u0026lt;/strong\u0026gt;. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The impact you will have:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own Money systems and services that govern usage of all Databricks products and offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;What we look for:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS/MS/PhD in Computer Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;12+ years of production level experience\u0026lt;/strong\u0026gt; in one of: Java, Scala, C++, or similar language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working towards a multi-year vision with incremental deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record in architecting, developing, deploying, and operating large scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with software security and systems that handle sensitive data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proactive approach and a passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7111068002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5568119002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7111068002,"updated_at":"2026-07-24T19:28:45-04:00","requisition_id":"P-940","title":"Staff Software Engineer - Money Team","company_name":"Databricks","first_published":"2024-01-24T20:18:50-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Staff Software Engineer - Money Team\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;P-940\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are obsessed with Data + AI to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Money team\u0026#39;s mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP \u0026amp;amp; Azure).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. \u0026amp;nbsp;By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified \u0026quot;sky computation\u0026quot; experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and manage the Money systems and services, commercializing all Databricks products and offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop innovative primitives that enable\u0026amp;nbsp; and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will become an expert at using the Databricks Data + AI tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent Databricks at academic and industrial conferences \u0026amp;amp; events.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS or higher degree in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proactive approach and a passion for delivering high-quality solutions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8593107002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6432215002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8593107002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"P-1563","title":"Staff Software Engineer - Multi Cloud Efficiency","company_name":"Databricks","first_published":"2026-06-22T08:22:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1563\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started in\u0026amp;nbsp;\u0026lt;strong\u0026gt;Bengaluru , India\u0026lt;/strong\u0026gt; ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We manage the infrastructure efficiency for one of the world\u0026#39;s largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We aren\u0026#39;t just cutting costs; we are engineering systems to scale efficiently as our cloud footprint expands into the hundreds of millions of dollars.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer, you will serve as the technical lead for the Bengaluru MCE chapter. You will be responsible for defining the technical strategy for efficiency projects where the solutions are not yet known. You will lead cross-functional efforts, working with finance and cost team, to tackle massive-scale engineering challenges, ensuring our systems can automatically drive cost efficiency and handle the complexity of global, multi-cloud data processing without compromising on performance or stability. As one of the founding senior engineers of the Bengaluru MCE chapter — a team that has already delivered millions of dollars in verified annual cloud savings within two quarters of formation — you will shape its technical direction and help scale it toward amplifying global impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect at Scale\u0026lt;/strong\u0026gt;: Lead the design and implementation of systems to optimize cloud spend, driving impact in the magnitude of hundreds of millions of dollars. You will architect solutions for complex problems like reserved-instance automation, tag-based cost attribution at scale, automated waste-cleanup policy engines, and cross-cloud resource governance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Technical Strategy\u0026lt;/strong\u0026gt;: Identify and deliver high-impact, well-adopted projects that solve complex efficiency problems. You will define the roadmap for our efficiency pillar, conducting thorough design reviews and risk assessments for systems supporting the company\u0026#39;s core infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineer for Efficiency\u0026lt;/strong\u0026gt;: Design scalable systems for regression detection and automated resource rightsizing. You will build the frameworks that allow product teams to measure their \u0026quot;efficiency footprint” — the cost and resource impact of their services and hold them accountable through automated release gates that block changes that regress agreed efficiency targets (SLOs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence\u0026lt;/strong\u0026gt;: Serve as a technical authority for incident management, addressing complex, system-wide performance issues. You will improve the stability and reliability of our internal platform tools, ensuring they are robust enough to manage our growing global scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Leadership\u0026lt;/strong\u0026gt;: Act as a force multiplier by mentoring junior and senior engineers, raising the bar for engineering quality, and driving engineering culture across the organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build self-driving efficiency systems:\u0026lt;/strong\u0026gt; Design the automation and agentic layers — AI-driven detection, decisioning, and autonomous remediation — that let cost governance run continuously at scale, shifting the team from manual cleanup to systems that keep themselves efficient.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in identifying and solving performance bottlenecks in high-throughput, distributed environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to drive technical requirements for ambiguous problems where the path forward is not obvious.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;T-shaped engineering skills: depth in distributed systems and breadth across cloud infrastructure, monitoring, and software lifecycles.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7648669002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6008248002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7648669002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1347","title":"Staff Software Engineer- Networking","company_name":"Databricks","first_published":"2024-09-20T07:19:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1347\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Networking Infrastructure\u0026lt;/strong\u0026gt; is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we\u0026#39;re setting up the team from scratch in \u0026lt;strong\u0026gt;Bengaluru , India.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an experienced \u0026lt;strong\u0026gt;Staff Software Engineers with a networking background\u0026lt;/strong\u0026gt; to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;12+ years\u0026lt;/strong\u0026gt; of production level experience in one of: Python, Java, Scala, C++, or similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;7+ years of experience\u0026lt;/strong\u0026gt; developing \u0026lt;strong\u0026gt;large-scale distributed system\u0026lt;/strong\u0026gt;s from scratch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on a SaaS platform or with Service-Oriented Architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience working in the \u0026lt;strong\u0026gt;Networking domain\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8328675002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6311593002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8328675002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"RDQ426R299","title":"Staff Software Engineer, Observability ","company_name":"Databricks","first_published":"2025-12-08T20:23:02-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;RDQ426R299\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a software engineer in the\u0026lt;strong\u0026gt; Observability team\u0026lt;/strong\u0026gt;, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics. You will leverage powerful capabilities of Databricks’ own data intelligence platform to push the boundaries of troubleshooting practices in the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will uplevel monitoring and reliability practices across Databricks engineering, developing opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in software development, in large-scale distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving large projects involving multiple teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with observability infrastructure, monitoring patterns, and reliability practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$261,250 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8517555002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6394875002,"location":{"name":"Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8517555002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"P-1604","title":"Staff Software Engineer- Public Sector","company_name":"Databricks","first_published":"2026-04-21T18:13:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1604\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we don’t just build software for the cloud; we are \u0026quot;cloud maximalists.\u0026quot; We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where \u0026quot;zero-waste\u0026quot; compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect Scalable Systems:\u0026lt;/strong\u0026gt; Design and implement highly available backend services using \u0026lt;strong\u0026gt;Scala, Java, Go, C++/C or similar\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Distributed Systems Engineering: \u0026lt;/strong\u0026gt;Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Infrastructure at Scale: \u0026lt;/strong\u0026gt;Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance Optimization: \u0026lt;/strong\u0026gt;Drive \u0026quot;zero-waste\u0026quot; compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Security \u0026amp;amp; Reliability: \u0026lt;/strong\u0026gt;Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Look For\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Required:\u0026lt;/strong\u0026gt; Candidates must hold a \u0026lt;strong data-path-to-node=\u0026quot;6,0\u0026quot; data-index-in-node=\u0026quot;33\u0026quot;\u0026gt;current TS/SCI clearance\u0026lt;/strong\u0026gt; (either active or currently held in an editable/re-activatable status within the 2-year window).\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Nice to have:\u0026lt;/strong\u0026gt; Possession of a current \u0026lt;strong\u0026gt;polygraph\u0026lt;/strong\u0026gt; (Counterintelligence or Full Scope) is highly desired and considered a significant plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Breadth:\u0026lt;/strong\u0026gt; BS/MS/PhD in Computer Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience:\u0026lt;/strong\u0026gt; \u0026lt;strong\u0026gt;Staff :\u0026lt;/strong\u0026gt; 9+ years of professional software development experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Systems Expertise:\u0026lt;/strong\u0026gt; Deep understanding of \u0026lt;strong\u0026gt;Distributed Systems\u0026lt;/strong\u0026gt;, concurrency, and performance optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Language Proficiency:\u0026lt;/strong\u0026gt; Strong production-level experience in at least one of: \u0026lt;strong\u0026gt;Java, Scala, Go, C++\u0026lt;/strong\u0026gt; or \u0026lt;strong\u0026gt;similar\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cloud Experience:\u0026lt;/strong\u0026gt; Experience building and deploying large-scale SaaS or cloud-native applications.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,500\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$248,150 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4039466002,"name":"Virginia","location":"Virginia","child_ids":[4029647002,4032564002,4036963002,4056379002],"parent_id":4056357002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8439348002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6146682002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8439348002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1408","title":"Staff Software Engineer- Search Quality","company_name":"Databricks","first_published":"2026-02-26T09:12:52-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1408\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Mission\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;As a Search Quality Engineer, you sit at the heart of this transformation. You aren\u0026#39;t just building a search engine; you are building the contextual backbone of the entire company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will own the quality of results for two distinct but deeply connected \u0026quot;users\u0026quot;:\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the \u0026quot;ground truth\u0026quot; needed\u0026amp;nbsp; to synthesize accurate, high-stakes business actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Technical Challenge\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This isn\u0026#39;t a solved problem. You will be tackling \u0026quot;Search\u0026quot; in its most evolved form:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why This is the Place to Be\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Quality and Metrics Obsessive: You understand that \u0026quot;relevance\u0026quot; is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with \u0026lt;strong\u0026gt;relevance metrics\u0026lt;/strong\u0026gt; (nDCG, MRR, Precision@K).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8295792002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4937656002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8295792002,"updated_at":"2026-07-24T19:28:43-04:00","requisition_id":"P-150","title":"Staff Software Engineer, Search Quality","company_name":"Databricks","first_published":"2025-11-17T21:40:27-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;RDQ326R95\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks’ next-generation Search product. You’ll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You’ll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications — blending traditional information retrieval techniques, representation learning, and neural ranking.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks’ next-generation retrieval experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and solve challenges in ranking, query understanding, and hybrid retrieval — advancing state-of-the-art techniques in vector, keyword, and multimodal search.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive end-to-end engineering efforts — from early prototyping to production rollout — ensuring correctness, reliability, and measurable improvements to relevance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shape Databricks’ long‑term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of relevance metrics and evaluation frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to collaborate across teams in fast-moving environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for mentoring, growing engineers, and fostering technical excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$165,300\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$219,675 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7958688002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6146682002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7958688002,"updated_at":"2026-07-24T19:28:49-04:00","requisition_id":"P-1408","title":"Staff Software Engineer  (Search Ranking)","company_name":"Databricks","first_published":"2025-04-15T13:15:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1408\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As our Search product continues to evolve, we are seeking a \u0026lt;strong\u0026gt;Staff Engineer \u0026lt;/strong\u0026gt;to lead enhancements to our Search Quality. In 2026, we will focus on \u0026lt;strong\u0026gt;enhancing search ranking, improving query understanding, building robust evals\u0026lt;/strong\u0026gt; and growing the coverage of assets to enable seamless search at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive the \u0026lt;strong\u0026gt;development and deployment of ML based search and discovery relevance models\u0026lt;/strong\u0026gt; and systems integrated with Databricks\u0026#39; products and services.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BS+ (M.S. or PhD preferred) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years experience developing search relevance systems at scale in production or in high-impact research environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying LLM to search relevance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in one or more of the following:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query understanding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;NLP\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Text mining\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recommendations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Personalization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Discovery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conversational AI\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of computer science fundamentals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to well-used open-source projects.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join Us?\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7994759002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787472002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7994759002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1124","title":"Staff Software Engineer - Security Infrastructure","company_name":"Databricks","first_published":"2025-05-13T11:28:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1124\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection and Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$221,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$241,100 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7994770002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5787472002,"location":{"name":"Mountain View, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7994770002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-1124","title":"Staff Software Engineer - Security Infrastructure","company_name":"Databricks","first_published":"2025-05-13T11:30:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1124\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Summary\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Databricks, we are obsessed with enabling data teams to solve the world\u0026#39;s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Customers trust Databricks with their most valuable data and Trust \u0026amp;amp; Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust \u0026amp;amp; Safety and has\u0026amp;nbsp; a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Attract top talent from across the industry.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Represent Databricks at academic and industry conferences \u0026amp;amp; events\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection \u0026amp;amp; Response. Experience building systems at large scale internet companies is a huge plus.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;10+ years of experience building large scale distributed systems with high availability\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Leadership skills and experience to lead across functional and organizational lines\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Strong communication skills to explain and evangelize Data Security to senior leaders across the company\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Bias to action and passion for delivering high-quality solutions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;MS or Ph.D. in Computer Science or related fields\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$190,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$253,750 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8639477002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5641035002,"location":{"name":"Bellevue, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8639477002,"updated_at":"2026-07-24T19:28:46-04:00","requisition_id":"P-988","title":"Staff Software Engineer, Technical Lead, Lakebase Manager (LBM)","company_name":"Databricks","first_published":"2026-07-17T18:05:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p id=\u0026quot;isPasted\u0026quot;\u0026gt;P-988\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You\u0026#39;ll join as one of the key engineers building out the Lakebase product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase: database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component (storage, compute, proxy, and console) and manages the full database lifecycle at scale, with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the team\u0026#39;s engineering manager, who owns people management and delivery planning. The stack is Go, Rust, PostgreSQL, and Kubernetes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set the technical direction for LBM and own the quality and reliability of what the team ships, driving execution on the hardest, highest-risk parts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive architecture and design, and write code on the hardest parts of your team\u0026#39;s projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set and uphold high technical standards through architecture reviews, testing, and a culture of engineering excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the technical bar of the team: mentor engineers, drive rigorous design and code review, and grow their distributed-systems and design skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define SLIs, meet SLOs, and drive long-term reliability improvements across the database lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-team initiatives across the Lakebase stack: align with partner teams on dependencies and unblock cross-cutting projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering and product leadership to shape and deliver a long-term technical roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years designing, building, and operating large-scale distributed systems, including the processes around testing, monitoring, and SLIs/SLOs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of technical leadership as an individual contributor: setting architecture and direction for a team\u0026#39;s projects through influence, without formal management authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on depth: you still design systems and write production code, and can go deep on architecture for large-scale distributed services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating reliability-critical, highly available services (on-call, incident response, HA/failover).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working toward a multi-year vision with incremental deliverables, and balancing short-term delivery against long-term stability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to align multiple stakeholders on competing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Go, Rust, or a similar systems language; experience with PostgreSQL and Kubernetes is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000547002,"name":"Seattle, Washington","location":"Seattle, Washington","child_ids":[],"parent_id":4033876002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7979523002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5533735002,"location":{"name":"San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":7979523002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-925","title":"Staff Software Engineer - User Activation","company_name":"Databricks","first_published":"2025-04-30T19:55:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-925\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have:\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on full-stack software development to create dynamic, user-centric experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;15+ years of software engineering experience, with a strong track record of technical leadership and impact. \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of engineering management experience, including managing managers. \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in Front End or Full Stack development. \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences. \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures. \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives. \u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for the data intelligence space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why Join us?\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on high-impact, high-visibility initiatives that directly contribute to Databricks\u0026#39; growth trajectory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and mentor a talented team of engineers solving challenging, customer-centric problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$192,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$260,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8521198002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6306898002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8521198002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1489","title":"Staff Technical Program Manager- Platform Features","company_name":"Databricks","first_published":"2026-04-23T13:44:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1489\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Platform \u0026amp;amp; Product Experiences | Shape How Databricks Executes at Scale\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, Staff TPMs don’t just run programs — they define how the company executes at scale. This role sits at the center of our highest-priority platform and product investments, partnering across engineering, product, and go-to-market teams to bring foundational capabilities to market globally.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will lead complex, high-visibility programs where the path isn’t fully defined, align senior stakeholders, and build the operating models that scale execution across the company.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Make\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You will own delivery of some of Databricks’ most important initiatives and programs that reach tens of thousands of enterprise customers worldwide. You will influence roadmap decisions, drive execution across organizations, and ensure launches translate into real customer adoption and business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Examples of programs you may lead include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Scaling core platform experiences that define how customers interact with Databricks (e.g., workspace, identity, access, and cross-product workflows)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leading cross-functional initiatives that unify product experiences across data, AI, and governance capabilities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;End-to-End Program Leadership: \u0026lt;/strong\u0026gt;Own complex, cross-functional programs from initial scoping through launch and adoption. Define program structure, drive execution, and hold teams accountable to clear outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Organizational Alignment: \u0026lt;/strong\u0026gt;Align engineering, product, design, field, legal, and marketing around a shared plan. Manage dependencies, resolve conflicts, and keep execution on track.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Launch \u0026amp;amp; Enterprise Adoption: \u0026lt;/strong\u0026gt;Partner with field teams, solutions architects, and customer success to drive successful launches. Build early access programs, capture customer feedback, and translate it into execution priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence: \u0026lt;/strong\u0026gt;Identify where the organization is losing speed, design scalable processes, and drive adoption across teams. Build systems that outlast individual programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Executive Communication: \u0026lt;/strong\u0026gt;Own communication with senior leadership. Provide clear updates, highlight risks, and enable fast, well-informed decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Data-Driven Execution: \u0026lt;/strong\u0026gt;Define success metrics upfront. Track progress rigorously and use data to guide decisions and demonstrate impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years leading large-scale, cross-functional programs in enterprise software or B2B technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience delivering end-to-end product launches across multiple geographies and functions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to bring structure to ambiguous, fast-moving environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience influencing roadmap and prioritization, not just delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Credibility with both engineers and executives; strong communication skills with VP and C-level stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of building scalable processes and operating models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong instincts for risk management, escalation, and stakeholder alignment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining and tracking success metrics; familiarity with SQL or dashboards is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating with high autonomy and ownership in ambiguous, high-stakes environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud platforms (AWS, Azure, GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in data platforms, governance systems, or developer-facing products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Databricks or similar large-scale data ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience scaling both 0→1 programs and mature systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced degree in a technical field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why This Role is Unique\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the center of Databricks’ core platform investments, with direct access to senior leadership and the opportunity to shape how the company executes. You will work on high-impact programs, influence key decisions, and build systems that scale across the organization.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comprehensive health coverage (medical, dental, vision)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;401(k) plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Equity awards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexible time off\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Paid parental leave and family planning support\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gym reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annual personal development fund\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work headphones reimbursement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Employee Assistance Program (EAP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Business travel accident insurance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mental wellness resources\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,200\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$247,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8589169002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":5279184002,"location":{"name":"McLean, Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8589169002,"updated_at":"2026-07-24T19:28:44-04:00","requisition_id":"P-298","title":"Staff Technical Solution Engineering","company_name":"Databricks","first_published":"2026-06-11T20:27:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Staff Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within a high-consequence compliance framework, you will navigate evolving operational models—including dedicated secure facility operations—while directly engineering out systemic roadblocks. If you are a sharp systems or cloud specialist looking to apply your technical expertise to the world\u0026#39;s leading Data and AI platform within the intelligence and defense space, this role offers unmatched technical scope and mission-critical impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You’ll Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ensure Platform Reliability:\u0026lt;/strong\u0026gt; Drive the technical triage, infrastructure visibility, and incident resolution for Databricks’ multi-cloud data enclaves and Generative AI software running inside air-gapped environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Unblock Secure Engineering Pipelines:\u0026lt;/strong\u0026gt; Serve as the essential secure-zone operational interface, unblocking complex GovCloud system interactions and taking on the analysis and triage burden for internal engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execute Advanced Tooling \u0026amp;amp; Scripting:\u0026lt;/strong\u0026gt; Safely execute and adapt infrastructure scripts, automation tools, and diagnostic workflows natively within secure boundaries, adhering strictly to modern access guidelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Optimize Environment Patching:\u0026lt;/strong\u0026gt; Identify and resolve systemic environment blocks, reviewing infrastructure configurations to ensure streamlined, compliant patch deployment pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Maintain Guardrails \u0026amp;amp; Compliance:\u0026lt;/strong\u0026gt; Navigate and implement evolving operational frameworks within secure facilities (SCIF), ensuring all GovCloud interactions strictly meet rigorous federal security benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Active TS/SCI security clearance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in Systems Engineering, Cloud Infrastructure, Support Engineering, DevSecOps, or a related technical operational role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work out of our McLean, VA secure facility, including flexibility to support 24x7 operational coverage frameworks within a SCIF environment as required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Active Counterintelligence (CI) or Full Scope Polygraph (FSP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience supporting AWS World Wide Public Sector (WWPS), Oracle Cloud Infrastructure (OCI) Federal Support, or specialized high-side defense integration environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated history of navigating complex federal compliance frameworks, GovCloud boundaries, or air-gapped environment constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong professional tenure, showing a track record of stability and ownership within complex engineering or defense-intelligence spaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$153,400\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$210,850 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4029647002,"name":"McLean, Virginia","location":"McLean, Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8103500002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6209799002,"location":{"name":"Austin, Texas; Chicago, Illinois; Denver, Colorado; New York City, New York; San Francisco, California; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8103500002,"updated_at":"2026-07-24T19:28:50-04:00","requisition_id":"P-1445","title":"Startup Account Executive","company_name":"Databricks","first_published":"2025-08-05T17:04:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;P-1445\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build a territory plan by 30 days with a clear account prioritization strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align both new and existing customers with the Lakehouse vision and ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be able to range from faster transactions to large strategic deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead with a customer first mindset and focus on business value\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1+ years of closing sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be able to quickly learn new technologies and value proposition\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience exceeding sales KPIs and quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4005353002,"name":"Commercial \u0026 Mid-Market Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000514002,"name":"San Francisco, California","location":"San Francisco, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8441862002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372163002,"location":{"name":"Brisbane, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8441862002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ127R124","title":"Startup Core Account Executive","company_name":"Databricks","first_published":"2026-04-15T19:51:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ127R124\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As we continue to increase our presence in the world of Unified Data Analytics and AI, we\u0026#39;re looking for a creative, driven, and execution-oriented Start-up Account Executive to sell to the ANZ market and maximise the huge market opportunity that exists for Databricks today.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Start-up Account Executive reporting to the Senior Sales Director, you will have experience selling in the ANZ market. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Evangelise Databricks\u0026#39; Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with business and technical decision-makers and lead them through the evaluation and buying process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed individual activity, pipeline and annual revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive customer success and upsell existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a Territory Strategy focused on ANZ across all industries\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience selling SaaS solutions to Enterprise and/or Digital Native Customers in ANZ\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to simply articulate intricate cloud \u0026amp;amp; big data technologies and their business value for the customer\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4034019002,"name":"Queensland, Australia","location":"Queensland, Australia","child_ids":[4057499002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8622413002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6443444002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8622413002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R397","title":"Strategic Account Executive - Consumer Goods Industry ","company_name":"Databricks","first_published":"2026-07-08T15:31:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R397\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest problems with big data and AI? This is what we do everyday at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Strategic Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Consumer Goods industry.\u0026amp;nbsp; Your mission will be to grow one of our most strategic CPG customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Director, Sales, as a Strategic Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience leading and running large, extended virtual teams is essential.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and running relationships, co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing strong relationships with large (global) Enterprise accounts and leading complex sales campaigns in major CPG accounts. This includes experience co-developing business cases, gaining support from C-level Executives, value-based selling, and driving usage and commit-based engagement models working with professional services and training teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience working in Big Data, Cloud, or relevent SaaS industries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proof of exceeding sales quotas in high-growth Enterprise software companies.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8626215002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6445105002,"location":{"name":"Denmark"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Denmark ApS","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8626215002,"updated_at":"2026-07-24T19:29:05-04:00","requisition_id":"SLSQ327R4","title":"Strategic Account Executive, Life Science","company_name":"Databricks","first_published":"2026-07-17T10:46:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R4\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Do you want to help solve the world\u0026#39;s toughest problems with big data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a creative, execution-oriented Strategic Account Executive to join the team to maximise the phenomenal market opportunity that exists for Databricks within the Life Science industry. Your mission will be to grow one of our most strategic energy customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Strategic Sales Director for Denmark and Norway, as a Strategic Account Executive at Databricks you will come with an informed and compelling point of view on the Data, Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will have experience developing strong relationships with large (global) Enterprises global accounts, managing virtual teams, and leading complex sales campaigns in major Energy accounts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience working in Data, Cloud, or SaaS industries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proof of exceeding sales quotas in high-growth Enterprise software companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience co-developing business cases and gaining support from C-level Executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will have experience of value-based selling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in English is required, fluency in Danish is preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4018697002,"name":"Denmark","location":"Denmark","child_ids":[4088148002,4086869002],"parent_id":4000548002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8431457002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6367817002,"location":{"name":"Atlanta, Georgia; Denver, Colorado"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8431457002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"SLSQ227R344","title":"Strategic Account Executive-TELCO","company_name":"Databricks","first_published":"2026-04-06T13:26:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ227R344\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates in the listed location(s) are encouraged for this role\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Remote - Denver\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specificlaly in the TELCO space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8452487002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6376348002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8452487002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ227R380","title":"Strategic Account Executive, UAE","company_name":"Databricks","first_published":"2026-03-20T13:34:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R380\u0026lt;/p\u0026gt;\n\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Location: London (relocation to Dubai expected early 2027)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Want to help solve the world\u0026#39;s toughest problems with data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today\u0026#39;s ultra-competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Account Executive to manage our most strategic customer in the UAE. The role will be based in London and will require you to travel to the UAE on a regular basis.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Account Executive, you are a sales professional experienced in selling to large Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and Partners. Always looking for new opportunities, you will close new accounts while maintaining existing accounts.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report to the Sales Director for the UAE.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your territory and develop a successful execution strategy\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity and quarterly revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify new use case opportunities and showcase value to existing customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote the value of the Databricks\u0026#39; Data Intelligence Platform\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and demonstrate value with all engagements to guide successful negotiations to close point\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Extensive understanding of the data platform, open source and cloud ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly skilled in prospecting research and ability to map out key stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in Value Selling and developing a mutual action plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to influence decision-making and strategy with customer leadership teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to establish credibility with the C-suite\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adept in selling to technical buyers\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery of MEDDPICC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree or relevant work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency in English is required, fluency in Arabic is preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willingness to relocate to Dubai in early 2027\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8353248002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6335755002,"location":{"name":"Remote - Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8353248002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ427R134","title":"Strategic Core Account Executive - Banking, m/f/d","company_name":"Databricks","first_published":"2026-03-05T13:46:32-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ427R134\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Although a specific location may be posted, candidates can be based anywhere in Germany.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;model-response-message-contentr_20e8b41a5d5b4276\u0026quot; class=\u0026quot;markdown markdown-main-panel stronger enable-updated-hr-color\u0026quot;\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;4\u0026quot;\u0026gt;Databricks operates at the leading edge of the unified data, analytics, and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain a first‑mover advantage in today’s ultra‑competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;5\u0026quot;\u0026gt;As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented \u0026lt;strong data-path-to-node=\u0026quot;5\u0026quot; data-index-in-node=\u0026quot;108\u0026quot;\u0026gt;Strategic Account Executive\u0026lt;/strong\u0026gt; to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the FSI vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within Germany’s largest savings bank, and one of Europes largest Insurance groups with HQ in Hannover. You will be the Strategic Account lead, working with a dedicated account team supporting these highly key clients. Leveraging your consultative sales experience in the Banking/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;h4 data-path-to-node=\u0026quot;7\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;7\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul data-path-to-node=\u0026quot;8\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;8,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;8,0,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Ownership:\u0026lt;/strong\u0026gt; Take full responsibility for your flagship accounts, defining a clear strategy and relentlessly driving it to exceed revenue and consumption goals.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;8,1,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;8,1,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Execution:\u0026lt;/strong\u0026gt; Turn strategy into action, executing with urgency and discipline to consistently overachieve targets.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;8,2,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;8,2,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Advisory:\u0026lt;/strong\u0026gt; Build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including the C‑level.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;8,3,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;8,3,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Expansion:\u0026lt;/strong\u0026gt; Uncover and shape new business, expanding use cases and driving deeper platform consumption across your accounts.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;8,4,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;8,4,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Orchestration:\u0026lt;/strong\u0026gt; Lead the full Databricks ecosystem, mobilizing internal cross-functional teams to maximize impact and customer value.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;8,5,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;8,5,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Negotiation:\u0026lt;/strong\u0026gt; Demonstrate compelling value in every engagement, leading confident, insight‑led negotiations from discovery to close.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 data-path-to-node=\u0026quot;9\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;9\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul data-path-to-node=\u0026quot;10\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,0,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,0,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Proven Track Record:\u0026lt;/strong\u0026gt; A documented history of exceeding revenue targets in complex, large-scale enterprise sales environments.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,1,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,1,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Domain Expertise:\u0026lt;/strong\u0026gt; Recognised Banking/FSI domain expertise, with a deep understanding of the German regulatory, risk, and compliance landscape.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,2,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,2,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Technical Sales Depth:\u0026lt;/strong\u0026gt; Proven success selling data, analytics, big data, AI, or highly technical cloud software through multi-stakeholder, multi-year enterprise cycles.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,3,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,3,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Strategic Vision:\u0026lt;/strong\u0026gt; Ability to identify high-impact AI use cases and engage key buying centers to expand the Databricks footprint and strategic relevance.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,4,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,4,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Consumption Model Mastery:\u0026lt;/strong\u0026gt; Strong understanding of consumption-based, \u0026quot;land-and-expand\u0026quot; models to drive sustained growth within strategic accounts.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,5,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,5,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Value-Led Selling:\u0026lt;/strong\u0026gt; Demonstrated ability to create and shape demand by translating customer priorities into measurable business value.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,6,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,6,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Methodological Rigor:\u0026lt;/strong\u0026gt; Disciplined use of sales methodologies (e.g., MEDDPICC, Value Selling, or Command of the Message) combined with accurate forecasting.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,7,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,7,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Leadership:\u0026lt;/strong\u0026gt; Experience building executive-level champions and leading cross-functional teams to execute against a defined account strategy.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,8,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,8,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Partner Ecosystem:\u0026lt;/strong\u0026gt; Experience executing partner strategies that extend reach and accelerate deal velocity within complex opportunities.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,9,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,9,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Mobility:\u0026lt;/strong\u0026gt; Willingness to travel to customer sites and industry events, both regionally and internationally.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p data-path-to-node=\u0026quot;10,10,0\u0026quot;\u0026gt;\u0026lt;strong data-path-to-node=\u0026quot;10,10,0\u0026quot; data-index-in-node=\u0026quot;0\u0026quot;\u0026gt;Communication:\u0026lt;/strong\u0026gt; Fluency in \u0026lt;strong data-path-to-node=\u0026quot;10,10,0\u0026quot; data-index-in-node=\u0026quot;26\u0026quot;\u0026gt;German and English\u0026lt;/strong\u0026gt; is essential, with the credibility to challenge and influence senior C-level stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8431459002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6367818002,"location":{"name":"Remote - Georgia; Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8431459002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"SLSQ227R345","title":"Strategic Core Account Executive - CMEG - Telco ","company_name":"Databricks","first_published":"2026-02-20T12:45:31-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R345\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates in the listed location(s) are encouraged for this role\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Remote - Dallas\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Remote-Atlanta\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specificlaly in the TELCO space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056385002,"name":"Remote - Texas","location":"Remote - Texas","child_ids":[],"parent_id":4033550002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8490858002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6391599002,"location":{"name":"Remote - Virginia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8490858002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ227R693","title":"Strategic Core Account Executive - CPG","company_name":"Databricks","first_published":"2026-04-02T09:29:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R693\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Highly preferred location - \u0026lt;strong\u0026gt;Remote - Virginia\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;While candidates in Virginia are highly encouraged candidates in the surrounding locations will also be considered:\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the CPG team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the CPG vertical. \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$311,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$428,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056379002,"name":"Remote - Virginia","location":"Remote - Virginia","child_ids":[],"parent_id":4039466002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8499822002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6395252002,"location":{"name":"Melbourne, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8499822002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ227R737","title":"Strategic Core Account Executive - Digital Native","company_name":"Databricks","first_published":"2026-05-14T03:36:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ227R737\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategic Global Account Executive - Digital Native\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Strategic Global Account Executive, specialising in the digital native Industry to join our team in Sydney/Melbourne, Australia.This is a critical \u0026quot;Strategic Core\u0026quot; role focused on driving significant company growth. This is a critical \u0026quot;Strategic Core\u0026quot; role focused on driving significant company growth. As a Core representative, you will be instrumental in expanding our presence with one of our key, largest existing customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report directly to the Director of Enterprise Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Characteristics:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Takes initiative, is proactive and drives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Unwavering Prioritisation \u0026amp;amp; Grit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Detail-oriented.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creative\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coachability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open to Change and uncertainty\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Ambiguity: Proven ability to navigate complex and ambiguous customers and situations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience: Proven track record in sales in the digital native industry is preferred. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure customer commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Acumen: Understanding of Databricks\u0026#39; platform and the ability to communicate its value to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Impact: Ability to generate blast radius impact from planned activities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4034019002,"name":"Queensland, Australia","location":"Queensland, Australia","child_ids":[4057499002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549330002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6395252002,"location":{"name":"Sydney, Australia"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Australia PTY LTD","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8549330002,"updated_at":"2026-07-24T19:28:59-04:00","requisition_id":"SLSQ227R737","title":"Strategic Core Account Executive - Digital Native","company_name":"Databricks","first_published":"2026-05-14T03:49:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ227R737\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategic Global Account Executive - Digital Native\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Strategic Global Account Executive, specialising in the digital native Industry to join our team in Sydney/Melbourne, Australia.This is a critical \u0026quot;Strategic Core\u0026quot; role focused on driving significant company growth. This is a critical \u0026quot;Strategic Core\u0026quot; role focused on driving significant company growth. As a Core representative, you will be instrumental in expanding our presence with one of our key, largest existing customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will report directly to the Director of Enterprise Sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Impact You Will Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Look For:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Characteristics:\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Takes initiative, is proactive and drives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Unwavering Prioritisation \u0026amp;amp; Grit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Detail-oriented.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creative\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coachability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Open to Change and uncertainty\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Ambiguity: Proven ability to navigate complex and ambiguous customers and situations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience: Proven track record in sales in the digital native industry is preferred. Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology in a consumption-first world.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skills: Strong prospecting, lead generation, and customer engagement skills. Ability to drive consumption and secure customer commitment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaboration: Ability to work effectively with cross-functional teams, including GDRs and Customer Success teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Acumen: Understanding of Databricks\u0026#39; platform and the ability to communicate its value to customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Impact: Ability to generate blast radius impact from planned activities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4034019002,"name":"Queensland, Australia","location":"Queensland, Australia","child_ids":[4057499002],"parent_id":4039465002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8353246002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6335754002,"location":{"name":"Munich, Germany"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks GmbH","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8353246002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ427R149","title":"Strategic Core Account Executive - Insurance, m/f/d","company_name":"Databricks","first_published":"2026-02-10T13:38:22-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ427149\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first‑mover advantage in today’s ultra‑competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the insurance vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within one of Germany’s largest Reinsurers, based in Munich. You will be part of an account team supporting this highly strategic client. Leveraging your consultative sales experience in the Insurance/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;marker:text-quiet list-disc\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [\u0026amp;amp;\u0026gt;p]:pt-0 [\u0026amp;amp;\u0026gt;p]:mb-2 [\u0026amp;amp;\u0026gt;p]:my-0\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will take ownership of your flagship account, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [\u0026amp;amp;\u0026gt;p]:pt-0 [\u0026amp;amp;\u0026gt;p]:mb-2 [\u0026amp;amp;\u0026gt;p]:my-0\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [\u0026amp;amp;\u0026gt;p]:pt-0 [\u0026amp;amp;\u0026gt;p]:mb-2 [\u0026amp;amp;\u0026gt;p]:my-0\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [\u0026amp;amp;\u0026gt;p]:pt-0 [\u0026amp;amp;\u0026gt;p]:mb-2 [\u0026amp;amp;\u0026gt;p]:my-0\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [\u0026amp;amp;\u0026gt;p]:pt-0 [\u0026amp;amp;\u0026gt;p]:mb-2 [\u0026amp;amp;\u0026gt;p]:my-0\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;py-0 my-0 prose-p:pt-0 prose-p:mb-2 prose-p:my-0 [\u0026amp;amp;\u0026gt;p]:pt-0 [\u0026amp;amp;\u0026gt;p]:mb-2 [\u0026amp;amp;\u0026gt;p]:my-0\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;You will demonstrate compelling value in every engagement, leading confident, insight‑led negotiations that take opportunities all the way to close.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;What we look for\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;439\u0026quot; data-end=\u0026quot;529\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;441\u0026quot; data-end=\u0026quot;529\u0026quot;\u0026gt;A proven record of exceeding revenue targets in complex enterprise sales environments.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;439\u0026quot; data-end=\u0026quot;529\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;441\u0026quot; data-end=\u0026quot;529\u0026quot;\u0026gt;Recognised insurance domain expertise, applied to expanding strategic Insurance/FSI accounts in Germany through deep understanding of regulatory, risk, and compliance dynamics.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;711\u0026quot; data-end=\u0026quot;863\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;713\u0026quot; data-end=\u0026quot;863\u0026quot;\u0026gt;Proven success selling data, analytics, big data, AI, or other highly technical cloud software solutions through complex, multi-stakeholder, multi-year enterprise sales cycles\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The ability to identify high-impact data and AI use cases and engage key buying centres to expand Databricks’ footprint and strategic relevance within an organisation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;864\u0026quot; data-end=\u0026quot;1012\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;866\u0026quot; data-end=\u0026quot;1012\u0026quot;\u0026gt;Strong understanding of consumption-based, land-and-expand models, with the ability to drive sustained growth within a single strategic account.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1013\u0026quot; data-end=\u0026quot;1129\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1015\u0026quot; data-end=\u0026quot;1129\u0026quot;\u0026gt;Demonstrated ability to create and shape demand, translating customer priorities into measurable business value.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1130\u0026quot; data-end=\u0026quot;1317\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1132\u0026quot; data-end=\u0026quot;1317\u0026quot;\u0026gt;Disciplined use of sales methodologies such as MEDDPICC, account planning, Value Selling, or Command of the Message, combined with strong pipeline management and accurate forecasting.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1318\u0026quot; data-end=\u0026quot;1470\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1320\u0026quot; data-end=\u0026quot;1470\u0026quot;\u0026gt;A track record of building executive-level champions and cross-functional account teams to execute against a defined account and territory strategy.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1471\u0026quot; data-end=\u0026quot;1620\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1473\u0026quot; data-end=\u0026quot;1620\u0026quot;\u0026gt;Experience developing and executing partner strategies that extend reach, accelerate deal velocity, and support complex enterprise opportunities.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1621\u0026quot; data-end=\u0026quot;1792\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1623\u0026quot; data-end=\u0026quot;1792\u0026quot;\u0026gt;Willing and able to travel to customer sites, company and industry events - regionally and internationally\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1793\u0026quot; data-end=\u0026quot;1916\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1795\u0026quot; data-end=\u0026quot;1916\u0026quot;\u0026gt;Fluent in German and English, with the credibility to engage, challenge, and influence senior stakeholders up to C-level.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;my-2 [\u0026amp;amp;+p]:mt-4 [\u0026amp;amp;_strong:has(+br)]:inline-block [\u0026amp;amp;_strong:has(+br)]:pb-2\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4007500002,"name":"Munich, Germany","location":"Munich, Germany","child_ids":[],"parent_id":4056389002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8371412002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6246741002,"location":{"name":"Mexico"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Mexico","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8371412002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"SLSQ426R335","title":"Strategic Core Account Executive, Mexico City","company_name":"Databricks","first_published":"2026-01-12T18:52:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ426R335\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;This role requires being based in \u0026lt;strong\u0026gt;Mexico City\u0026lt;/strong\u0026gt;; applicants in other locations will not be considered.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;The interview process will involve both English and Spanish conversations; business-level fluency in English is required.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Resumen de posición:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Como ejecutivo de cuentas empresariales en Databricks, te apasiona vender a organizaciones de servicios financieros de alto crecimiento. Sabes cómo reducir los ciclos de decisión penetrando rápidamente en las cuentas y demostrando el valor para el cliente. Te encanta comprender un producto en profundidad y te apasiona comunicar su valor a los clientes. Administrarás cuentas designadas y serás responsable de expandir el consumo dentro del negocio existente. Además de la oportunidad de cerrar negocios interesantes, también ofrecemos aceleradores por encima del 100 % del cumplimiento de cuota.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;El impacto que tendrás:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comunicarás periódicamente la estrategia de la cuenta a la alta dirección de Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Asignarás recursos de Databricks para aumentar el consumo de las cuentas existentes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Te reunirás con ejecutivos del cuerpo directivo para comprender cómo Databricks puede impactar en los resultados comerciales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Superarás consistentemente todos los objetivos de actividad, cartera de clientes e ingresos.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Utilizarás un enfoque creativo y de rápida resolución de problemas para vender y crear valor para los clientes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Desarrollarás un plan para alcanzar el éxito internamente en Databricks y externamente en tu área.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Lo que buscamos:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hablante nativo de español; fluidez a nivel empresarial en inglés. Los conocimientos de portugués son favorables, aunque no obligatorios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pasión por vender un producto altamente técnico en la nube.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Más de 5 años de experiencia con tecnologías de código abierto y ventas basadas en el valor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Un vendedor creativo con un movimiento de identificación y gestión de clientes potenciales bien definido, y un historial comprobado de influir efectivamente en la toma de decisiones entre desarrollar o comprar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiencia en ventas en datos, IA, nube o SaaS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiencia comprobada superando constantemente las cuotas de ventas, idealmente orientada a impulsar el consumo incremental.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Éxito en el cierre de nuevas cuentas mientras trabajas en cuentas existentes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4094354002,"name":"Remote - Mexico","location":"Remote - Mexico ","child_ids":[],"parent_id":4094353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8191741002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6246741002,"location":{"name":"Mexico"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Mexico","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8191741002,"updated_at":"2026-07-24T19:28:51-04:00","requisition_id":"SLSQ426R335","title":"Strategic Core Account Executive, Monterrey","company_name":"Databricks","first_published":"2025-10-16T15:52:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ426R335\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;This role requires being based in \u0026lt;strong\u0026gt;Monterrey\u0026lt;/strong\u0026gt;; applicants in other locations will not be considered.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;The interview process will involve both English and Spanish conversations; business-level fluency in English is required.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Resumen de posición:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Como ejecutivo de cuentas empresariales en Databricks, te apasiona vender a organizaciones de servicios financieros de alto crecimiento. Sabes cómo reducir los ciclos de decisión penetrando rápidamente en las cuentas y demostrando el valor para el cliente. Te encanta comprender un producto en profundidad y te apasiona comunicar su valor a los clientes. Administrarás cuentas designadas y serás responsable de expandir el consumo dentro del negocio existente. Además de la oportunidad de cerrar negocios interesantes, también ofrecemos aceleradores por encima del 100 % del cumplimiento de cuota.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;El impacto que tendrás:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comunicarás periódicamente la estrategia de la cuenta a la alta dirección de Databricks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Asignarás recursos de Databricks para aumentar el consumo de las cuentas existentes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Te reunirás con ejecutivos del cuerpo directivo para comprender cómo Databricks puede impactar en los resultados comerciales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Superarás consistentemente todos los objetivos de actividad, cartera de clientes e ingresos.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Utilizarás un enfoque creativo y de rápida resolución de problemas para vender y crear valor para los clientes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Desarrollarás un plan para alcanzar el éxito internamente en Databricks y externamente en tu área.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Lo que buscamos:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hablante nativo de español; fluidez a nivel empresarial en inglés. Los conocimientos de portugués son favorables, aunque no obligatorios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pasión por vender un producto altamente técnico en la nube.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Más de 5 años de experiencia con tecnologías de código abierto y ventas basadas en el valor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Un vendedor creativo con un movimiento de identificación y gestión de clientes potenciales bien definido, y un historial comprobado de influir efectivamente en la toma de decisiones entre desarrollar o comprar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiencia en ventas en datos, IA, nube o SaaS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiencia comprobada superando constantemente las cuotas de ventas, idealmente orientada a impulsar el consumo incremental.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Éxito en el cierre de nuevas cuentas mientras trabajas en cuentas existentes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4094354002,"name":"Remote - Mexico","location":"Remote - Mexico ","child_ids":[],"parent_id":4094353002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8458710002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6378790002,"location":{"name":"Remote - Ohio"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8458710002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ127R678","title":"Strategic Core Account Executive - Retail ","company_name":"Databricks","first_published":"2026-03-12T10:32:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ127R678\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;Highly preferred location - \u0026lt;strong\u0026gt;Remote - Cincinnati\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in Cincinnati are highly encouraged for this role, candidates in Columbus, OH , Chicago, IL and Indianapolis, IN will also be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Retail team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the Retail vertical. \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$311,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$428,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056374002,"name":"Remote - Ohio","location":"Remote - Ohio","child_ids":[],"parent_id":4033548002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8479027002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6386855002,"location":{"name":"United States"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8479027002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ227R447","title":"Strategic Customer Advisor ","company_name":"Databricks","first_published":"2026-04-13T07:47:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;SLSQ227R447\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Location is Remote - AMER - willingness and able to travel\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Databricks is assembling a small group of elite sales leaders to engage in our most complex, high-stakes customer opportunities. This role is built for individuals who have operated at the highest levels, leading transformation rather than just transactions. You will be deployed into Databricks\u0026#39; most critical accounts and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a 50/50 role:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Externally:\u0026lt;/strong\u0026gt; Shaping customer vision, guiding executives, and driving deal outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Internally:\u0026lt;/strong\u0026gt; Advising, coaching, and raising the standard of the field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in Data \u0026amp;amp; AI organizations in highly strategic sales roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading large, complex, multi-year, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to quickly establish credibility at the C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong, defensible POV on data platforms, AI, and enterprise transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to influence without authority across account teams, leadership, and partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience coaching and elevating high-performing sales teams in live deal environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating across industries, ambiguity, and high expectations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High ownership, high standards, and low ego.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8479029002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6386856002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8479029002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"SLSQ227R448","title":"Strategic Customer Advisor, APJ","company_name":"Databricks","first_published":"2026-04-16T11:39:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;SLSQ227R448\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Databricks is assembling a small group of elite sales leaders to engage in our most complex, high-stakes customer opportunities. This role is built for individuals who have operated at the highest levels, leading transformation rather than just transactions. You will be deployed into Databricks\u0026#39; most critical accounts in APJ region and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a 50/50 role:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Externally:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Shaping customer vision, guiding executives, and driving deal outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Internally:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Advising, coaching, and raising the standard of the field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in Data \u0026amp;amp; AI organizations in highly strategic sales roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading large, complex, multi-year, multi-stakeholder deals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence with the ability to quickly establish credibility at the C-level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong, defensible POV on data platforms, AI, and enterprise transformation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to influence without authority across account teams, leadership, and partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience coaching and elevating high-performing sales teams in live deal environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating across industries, ambiguity, and high expectations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High ownership, high standards, and low ego.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8585188002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429157002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8585188002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R457","title":"Strategic DNB Hunter Account Executive (China)","company_name":"Databricks","first_published":"2026-06-11T03:07:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R457\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prospect for new customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assess your existing customers and develop a strategy to identify and engage all buying centers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify the most viable use cases in each account to maximize Databricks\u0026#39; impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build value with all engagements to promote successful negotiations and close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote the Databricks enterprise cloud data platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-focused by delivering technical and business results using the Databricks Platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to simply articulate intricate cloud \u0026amp;amp; big data technologies and their business value for the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success and upward trajectory in whatever you have done\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8644185002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6429157002,"location":{"name":"China"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8644185002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R457","title":"Strategic DNB Hunter Account Executive (China)","company_name":"Databricks","first_published":"2026-07-22T00:21:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;SLSQ327R457\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China. This position will be based in Singapore.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prospect for new customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assess your existing customers and develop a strategy to identify and engage all buying centers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify the most viable use cases in each account to maximize Databricks\u0026#39; impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build value with all engagements to promote successful negotiations and close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote the Databricks enterprise cloud data platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be customer-focused by delivering technical and business results using the Databricks Platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to simply articulate intricate cloud \u0026amp;amp; big data technologies and their business value for the customer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success and upward trajectory in whatever you have done\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8588518002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6430316002,"location":{"name":"Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8588518002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R444","title":"Strategic Enterprise  Account Executive - CMEG","company_name":"Databricks","first_published":"2026-07-06T19:04:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R444\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates in the listed location(s) are encouraged for this role\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Remote - NYC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Remote - NJ\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Remote - PA\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specifically in the CMEG space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella. \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$311,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$428,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8633152002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6447963002,"location":{"name":"Remote - California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8633152002,"updated_at":"2026-07-24T19:29:06-04:00","requisition_id":"SLSQ327R698","title":"Strategic Enterprise Account Executive - CMEG ","company_name":"Databricks","first_published":"2026-07-22T13:38:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;SLSQ327R698\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;[While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates in the listed location(s) are encouraged for this role\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Remote - San Francisco\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specifically in the CMEG space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella. \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the account.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing a small set of enterprise accounts rather than a broad territory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8289737002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6306858002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8289737002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"SLSQ426R946","title":"Strategic Enterprise Account Executive - Financial Services","company_name":"Databricks","first_published":"2026-03-24T01:59:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ426R946\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Account Executive - Financial Services at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. Having experience working with Financial Services accounts is preferred. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to drive consumption. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;FINS Experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4033854002,"name":"Ontario, Canada","location":"Ontario, Canada","child_ids":[4056724002,4013297002],"parent_id":4002841002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8399385002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6353245002,"location":{"name":"Boston, Massachusetts; Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8399385002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"SLSQ127R619","title":"Strategic Enterprise Account Executive, Financial Services","company_name":"Databricks","first_published":"2026-02-09T01:19:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ127R619\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise with financial services institutions preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4033535002,"name":"Connecticut","location":"Connecticut","child_ids":[],"parent_id":4056359002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8596443002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6433488002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8596443002,"updated_at":"2026-07-24T19:29:03-04:00","requisition_id":"SLSQ327R435","title":"Strategic Enterprise Account Executive - Insurance  ","company_name":"Databricks","first_published":"2026-06-18T11:09:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R435\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Want to help solve the world\u0026#39;s toughest problems with big data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Insurance sector. Reporting to the Sales Director, you will be focused on the growth of one major\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services/Insurance segment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity\u0026amp;nbsp; and enables you to exceed quarterly/annual usage and booking goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will motivate a diverse team of big data and AI professionals to implement your business plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You will build exceptional value with all engagements to guide successful negotiations to close\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in direct sales of enterprise software platforms to large financial/Insurance enterprises\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership of executive level relationships in your clients\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of developing new business\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience of working with large complex regulated organisations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of the Data \u0026amp;amp; AI space with technology sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Longevity with previous employers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quota over-achievement selling complex software and services to large enterprise accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving successful adoption of usage-based subscription services and co-selling with AWS, Azure and Google Cloud teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Methods for co-developing business cases and gaining support from C-level Executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=7698278002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6029428002,"location":{"name":"Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":7698278002,"updated_at":"2026-07-24T19:28:48-04:00","requisition_id":"P-1022","title":"Strategic Enterprise Account Executive - TTH","company_name":"Databricks","first_published":"2024-10-24T12:53:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1022\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Candidates in the listed location(s) are encouraged for this role\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Remote - TX\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strat Enterprise Account Executive - TTH vertical to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reporting to our Director, Enterprise you will map to a strategic customer. \u0026amp;nbsp;You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive value-based growth within the accounts\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expand the Databricks footprint into new business units and use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; Data Intelligence Platform powered by Apache Spark™ and Delta Lake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable orgs to democratize insights from their data through AI-powered business intelligence, natively integrated into the Databricks Platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and leverage appropriate resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your account\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous field sales experience within AI/BI, big data, Cloud, SaaS, and a consumption selling motion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to simplify a technical capability into a value-based benefit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of Enterprise Sales experience exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4013301002,"name":"United States","location":"United States","child_ids":[4056357002,4056356002,4056355002,4056358002,4056360002,4056359002,4039466002,4045943002,4033536002,4045939002,4045935002,4006260002,4033542002,4033549002,4033533002,4033545002,4033546002,4033876002,4056365002,4033534002,4045934002,4045933002,4033541002,4045936002,4036092002,4029649002,4045941002,4041573002,4038493002,4033550002,4056381002,4056372002,4046006002,4033537002,4045938002,4045940002,4015609002,4041108002,4033538002,4007935002,4045937002,4041109002,4033548002,4056368002,4056370002,4033551002,4033535002,4033544002,4021415002,4043885002,4033540002,4033543002,4045942002,4033875002,4033547002,4033539002,4039497002,4029647002,4032564002,4036963002,4056379002,4000554002,4056375002,4058274002,4000558002,4006261002,4029648002,4056380002,4014571002,4013302002,4000648002,4056386002,4049331002,4000547002,4056367002,4029680002,4056366002,4007932002,4011999002,4000514002,4007931002,4012089002,4024127002,4056364002,4056362002,4056363002,4026856002,4026857002,4056383002,4056385002,4000645002,4000646002,4000647002,4056384002,4000557002,4056382002,4007364002,4056373002,4056374002,4007934002,4007936002,4002845002,4056369002,4011925002,4056371002,4000551002,4056376002,4000553002,4056377002,4000552002,4039498002,4056378002],"parent_id":4056352002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8346287002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6333307002,"location":{"name":"Boston, Massachusetts; New Jersey; New York City, New York; Remote - Texas"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8346287002,"updated_at":"2026-07-24T19:28:53-04:00","requisition_id":"SLSQ327R3","title":"Strategic Enterprise Hunter Account Executive, Financial Services","company_name":"Databricks","first_published":"2026-02-09T01:38:35-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R3\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Greenfield + Hunter Sales Experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise with financial services institutions preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Success closing new accounts while working existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 2 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 3 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 4 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$272,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$374,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8438124002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6370627002,"location":{"name":"Toronto, Canada"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Canada ULC","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8438124002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ327R11","title":"Strategic Enterprise Hunter Account Executive, Telco","company_name":"Databricks","first_published":"2026-02-26T02:20:23-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R11\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Enterprise Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to close net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The impact you will have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close both new accounts and existing accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close quick, small wins while managing longer, complex sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceed activity, pipeline, and revenue targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use a solution-based approach to selling and creating value for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Promote Databricks\u0026#39; enterprise cloud data platform powered by Apache Spark™\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure 100% satisfaction among all customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prioritize opportunities and applying appropriate resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a plan for success internally at Databricks and externally with your accounts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;What we look for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have previously worked in an early stage company and you know how to navigate and be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Field sales experience within big data, Cloud, or SaaS sales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hunter (Net-New Logo) Experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior customer relationships with CIOs, program managers, and essential decision makers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simply articulate intricate cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years experience exceeding sales quotas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of Spark and big data preferable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for cloud technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s Degree\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4013297002,"name":"Toronto, Canada","location":"Toronto, Canada","child_ids":[],"parent_id":4033854002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8399878002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6353455002,"location":{"name":"Singapore"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks Asiapac Unified Analytics PTE.LTD.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8399878002,"updated_at":"2026-07-24T19:28:55-04:00","requisition_id":"SLSQ227R288","title":"Strategic Enterprise Sales Leader","company_name":"Databricks","first_published":"2026-04-06T21:36:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R288\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Do you want to help solve the world\u0026#39;s toughest business problems with Data and AI? This is what we do every day at Databricks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an Enterprise Sales Leader to join our growing business in the region. Leading a team of Enterprise Account Executives, you will be measured by achieving your team\u0026#39;s overall quota and growing consumption amongst some of Databricks\u0026#39; top strategic accounts in SEA. This is a team that is passionate about building a data ecosystem, technically knowledgeable and have a strong desire to drive value for our customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a fantastic aopportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the APJ sales organisation. We are looking for owners, who will go the extra mile and want to be the very best at what they do.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The position will report to the Strategic Enterprise Director.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive Revenue Success: Own and exceed your teams quarterly/annual sales targets.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and Implement Strategic Plans: Develop and execute evolving revenue plans and growth tactics, mainly amongst strategic financial services customers.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cultivate strong executive relationships with customers/partners, and lead cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create Trust-Based Relationships: develop long term customer, partner, and cross-functional relationships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distill Customer Needs and Value: Enable your team to understand commercial goals of your customer and how they relate to our value proposition\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the Front-Line Voice of Databricks: Lead your team to effectively communicate the value proposition through proposals and presentations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Minimum 10+ years of experience working as a senior executive at at a leading software company in a similar capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced (5+ years) high-growth SaaS leader with experience leading a sales team to new heights.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience selling to Enterprise Customers in the SEA region.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of the Data/ AI landscape, ecosystem and existing relationships with Hyperscalers.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience translating a highly technical product to business value for the CSuite. Experience in big data, selling against open source or freemium a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of success executing against personal and team goals while always striving to uplevel your process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven leadership ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4003042002,"name":"Singapore","location":"Singapore","child_ids":[],"parent_id":4003040002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8441890002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6372176002,"location":{"name":"Remote - New York"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8441890002,"updated_at":"2026-07-24T19:28:57-04:00","requisition_id":"SLSQ327R187","title":"Strategic Genie and AI Sales Specialist","company_name":"Databricks","first_published":"2026-03-03T08:09:08-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ327R187\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1648\u0026quot;\u0026gt;Candidates in the below location are required\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;1800\u0026quot;\u0026gt;Remote - NYC\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie.\u0026amp;nbsp;You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Displace or expand legacy BI platforms with AI-powered, governed analytics solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead conversations around semantic governance, self-service analytics, and natural language data access\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive proof-of-value engagements and scale enterprise-wide adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable field teams and serve as a subject matter expert on modern analytics architectures\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enterprise sales experience in BI, analytics, data platforms, or AI/ML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of modern analytics architectures and data governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to sell to both technical and business stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence and experience navigating complex buying cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for AI and the impact of GenAI on enterprise analytics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating in a specialist or overlay sales model\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to translate technical capabilities into clear business value\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;7+ years of Enterprise Sales experience, exceeding quotas in larger accounts\u0026lt;/li\u0026gt;\n\u0026lt;li data-renderer-start-pos=\u0026quot;2386\u0026quot;\u0026gt;Bachelors Degree\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with semantic layers, metrics stores, or governed data models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of lakehouse architectures and cloud data platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to GenAI, natural language interfaces, or conversational applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Consulting or solution design experience in customer-facing roles\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$311,600\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$428,450 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4054180002,"name":"HQ Management","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056377002,"name":"Remote - New York","location":"Remote - New York","child_ids":[],"parent_id":4033547002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8381352002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6346186002,"location":{"name":"Paris, France"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks SARL","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Sales"],"value_type":"multi_select"}],"id":8381352002,"updated_at":"2026-07-24T19:28:54-04:00","requisition_id":"SLSQ227R192","title":"Strategic Hunter Enterprise Account Executive","company_name":"Databricks","first_published":"2026-01-20T12:30:53-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;SLSQ227R192\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers in France rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As we continue our rapid expansion in France, we are looking for a creative, execution-oriented Strategic Enterprise Hunter Account Executive to join our team and maximize the incredible market opportunity for Databricks in the region. Reporting to the Director of Enterprise Sales, Hunting Team, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Assess your list of assigned accounts and develop a strategy to execute against it\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a customer base, identifying and closing new logo opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify land opportunities and develop the expand / consumption use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate and utilise internal teams to maximise the impact on your ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build exceptional value with all engagements to guide successful negotiations to close point\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven experience selling SaaS solutions to Enterprise Customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience and strong performance in new logo hunting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Successful experience selling complex software deals and quota over-achievement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of consumption based land and expand sales models is advantageous\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of the Data \u0026amp;amp; AI space with some technology sales experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evidence of creating demand that delivered substantial business value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent French and business English required\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4003092002,"name":"Enterprise Sales","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4005269002,"name":"Paris, France","location":"Paris, France","child_ids":[],"parent_id":4033857002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8605979002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6437335002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Operations"],"value_type":"multi_select"}],"id":8605979002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"SLSQ327R484","title":"Strategy \u0026 Execution Manager","company_name":"Databricks","first_published":"2026-07-09T15:07:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;SLSQ327R484\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The GTM Strategy \u0026amp;amp; Operations team works directly with Databricks\u0026#39; GTM Leadership to drive growth \u0026amp;amp; scale. We combine data-driven insights, scalable systems, and strong business acumen to empower the GTM leadership team and shape strategy in a high-growth environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Strategy \u0026amp;amp; Execution Manager to be the business partner for the AMER Communications, Media \u0026amp;amp; Gaming (CMEG) leadership team — a critical, high-visibility role built on two elements:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;(1) COO for the CMEG business. You\u0026#39;re effectively second-in-command; you are deeply embedded in the business, with the acumen and thought leadership to set the strategy and the operational muscle to run the team\u0026#39;s cadences and execute it. You\u0026#39;re the connective tissue across cross-functional teams and the broader AEEB/StratOps org, and you invest the time to know the industry, its market trends, and competitors cold.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;(2) A highly technical, analytical operator. You love working with data. You\u0026#39;re AI-fluent and are energized to help redefine the StratOps role in the age of AI — automating workflows and unlocking higher-value work. You produce world-class analyses with impeccable attention to detail, at an exceptional pace. You will be expected to own analytical workstreams to drive data-driven decision making at the executive level.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You must be able to deliver the day-to-day operational work with exceptional rigor, while also stepping back to bring a strategic point of view the leader hasn\u0026#39;t asked for yet.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity to be the strategic and operational backbone of one of Databricks\u0026#39; most exciting verticals\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The impact you\u0026#39;ll have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Run the business as the leader\u0026#39;s right hand: you are embedded enough to know the accounts, deals, team, and numbers cold and always have the answer. Surface risks, opportunities, and recommendations before you\u0026#39;re asked. Invest in learning about the industry and market.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the operating rhythm: forecast calls, pipeline reviews, QBRs, exec summaries, and territory/account planning. You will be trusted to run the cadences for the organization and represent the business when leadership is not in the room\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn data into decisions: own rigorous, complex analyses that guide investment, growth, and prioritization — with a point of view, not just data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the connective tissue: partner across Planning, Recruiting, Programs, Marketing, and Partners to unblock growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build for scale with AI: create AI-powered solutions that simplify the field experience and free the team for strategic work, and teach what you build\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What we look for\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Radical ownership and speed. \u0026lt;/strong\u0026gt;You own outcomes at pace, not just tasks. You are measured on the impact you deliver, not on effort.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Run-the-business operator.\u0026lt;/strong\u0026gt; You want to own a business end-to-end and operate on the leader\u0026#39;s behalf, not support from the sidelines. You earn trust through immersion and reliability, you\u0026#39;re a doer as much as a designer, and you bring structure to ambiguity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical and analytical horsepower\u0026lt;/strong\u0026gt;. You want your hands in the data and to build, not just direct it — advanced Excel/Sheets + SQL and modern tools (Databricks, Genie, Lakeview, custom agents), and you pick up new ones fast.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AI-fluent\u0026lt;/strong\u0026gt;, and on the frontier. AI is part of your daily workflow as a multiplier, and you proactively keep up with the latest tools and trends. You enjoy being an early adopter, learn new technology fast, and turn it into enterprise-quality work while offloading operational load to it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proactive strategic instinct\u0026lt;/strong\u0026gt;. You don\u0026#39;t wait for the question; you spot the pattern, form a point of view, and bring the recommendation, framed around the leader\u0026#39;s decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Zero-defect operational rigor\u0026lt;/strong\u0026gt;. Accurate, on-time, exec-ready output. You trace discrepancies to root cause and won\u0026#39;t ship something you can\u0026#39;t defend. Strategy and operations are equally weighted.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Connective tissue\u0026lt;/strong\u0026gt;, with sound judgment. You run toward cross-functional partnership, understand other teams\u0026#39; incentives, and make it easy to say yes. You see the org as a system rather than silos — with high honesty, integrity, and judgment. You document and teach what you build.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Excellent communication\u0026lt;/strong\u0026gt;. Comfortable presenting to VPs and BU leadership; you produce leader-ready decks, exec summaries, and quantitative business cases.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Zone 1 Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$162,900\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$223,950 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4027391002,"name":"Sales Operations","child_ids":[],"parent_id":4001021002}],"offices":[{"id":4056363002,"name":"Remote - California","location":"Remote - California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8482037002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6304820002,"location":{"name":"Mountain View, California; San Francisco, California"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8482037002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1299","title":"Systems PhD - Software Engineer ","company_name":"Databricks","first_published":"2026-03-26T15:59:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1299\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing\u0026amp;nbsp;\u0026lt;em\u0026gt;exponentially\u0026lt;/em\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a few. We also build and support the tooling, languages, and stacks that bring it together. Basically, we do it all.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The space we work in and the problems we solve are massive, complex, and very deep (our published work on\u0026lt;a href=\u0026quot;https://cs.stanford.edu/~matei/papers/2021/cidr_lakehouse.pdf\u0026quot;\u0026gt; Lakehouse\u0026lt;/a\u0026gt;,\u0026lt;a href=\u0026quot;https://www.vldb.org/pvldb/vol13/p3411-armbrust.pdf\u0026quot;\u0026gt; Delta lake\u0026lt;/a\u0026gt;, and\u0026lt;a href=\u0026quot;https://cs.stanford.edu/~matei/papers/2022/sigmod_photon.pdf\u0026quot;\u0026gt; Photon\u0026lt;/a\u0026gt; are a testament to that). We’re looking for practitioners who are eager to work with the best in industry to push the boundaries of what’s possible for our customers. If you’re truth seeking, data driven, and love to operate from first principles (head fake: \u0026lt;em\u0026gt;our core values\u0026lt;/em\u0026gt;), then Databricks is the place for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation \u0026amp;amp; optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized engine execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource Management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encoding, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in databases or systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$150,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$190,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8482086002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6304820002,"location":{"name":"Bellevue, Washington; Seattle, Washington"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks, Inc.","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8482086002,"updated_at":"2026-07-24T19:28:52-04:00","requisition_id":"P-1299","title":"Systems PhD - Software Engineer ","company_name":"Databricks","first_published":"2026-03-26T16:18:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1299\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing\u0026amp;nbsp;\u0026lt;em\u0026gt;exponentially\u0026lt;/em\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a few. We also build and support the tooling, languages, and stacks that bring it together. Basically, we do it all.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The space we work in and the problems we solve are massive, complex, and very deep (our published work on\u0026lt;a href=\u0026quot;https://cs.stanford.edu/~matei/papers/2021/cidr_lakehouse.pdf\u0026quot;\u0026gt; Lakehouse\u0026lt;/a\u0026gt;,\u0026lt;a href=\u0026quot;https://www.vldb.org/pvldb/vol13/p3411-armbrust.pdf\u0026quot;\u0026gt; Delta lake\u0026lt;/a\u0026gt;, and\u0026lt;a href=\u0026quot;https://cs.stanford.edu/~matei/papers/2022/sigmod_photon.pdf\u0026quot;\u0026gt; Photon\u0026lt;/a\u0026gt; are a testament to that). We’re looking for practitioners who are eager to work with the best in industry to push the boundaries of what’s possible for our customers. If you’re truth seeking, data driven, and love to operate from first principles (head fake: \u0026lt;em\u0026gt;our core values\u0026lt;/em\u0026gt;), then Databricks is the place for you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Query compilation \u0026amp;amp; optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed query execution and scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vectorized engine execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data security\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resource Management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transaction coordination\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficient storage structures (encoding, indexes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automatic physical data optimization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in databases or systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated by delivering customer value and impact\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Pay Range Transparency\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400; font-size: 14px;\u0026quot;\u0026gt;Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.\u0026amp;nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page \u0026lt;a href=\u0026quot;https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Local Pay Range\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$140,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$180,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4115423002,"name":"Engineering - Pipeline","child_ids":[],"parent_id":null}],"offices":[{"id":4056362002,"name":"Mountain View, California","location":"Mountain View, California","child_ids":[],"parent_id":4033534002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476581002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":6385835002,"location":{"name":"London, United Kingdom"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks U.K. Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Engineering"],"value_type":"multi_select"}],"id":8476581002,"updated_at":"2026-07-24T19:28:58-04:00","requisition_id":"P-1534","title":"Tech Lead Manager - Lakebase","company_name":"Databricks","first_published":"2026-04-10T10:28:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;P-1534\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are passionate about enabling data teams to solve the world\u0026#39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world\u0026#39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we\u0026#39;re only getting started.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Lakebase enables teams to deliver applications faster with an optimised database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You\u0026#39;ll join as one of the founding leaders building out both the Lakebase product and our London presence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a Tech Lead Manager role: a hands-on technical leader who guides a small team of around five engineers while staying deep in the engineering work. You\u0026#39;ll spend the majority of your time hands-on — driving architecture and design, solving the hardest problems in your team\u0026#39;s projects, aligning with partner teams on dependencies, and writing code — and the rest leading and growing the engineers around you, who will report directly to you. It\u0026#39;s\u0026amp;nbsp; role for a strong senior engineer who wants to lead a team and take on people management without stepping away from the technical work.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The team you will lead (one of):\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lakebase Platform Reliability (LPR)\u0026lt;/strong\u0026gt; — Constantly evolve Lakebase reliability: cross-functional infrastructure, observability, SLI/SLO definition and measurement, and higher operational efficiency without humans-in-the-loop, for both internal and customer-facing systems, by building AI-powered automation and services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lakebase Proxy\u0026lt;/strong\u0026gt; — Build the heart of the Lakebase data path, the network edge that every customer touches. The proxy handles all client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and the Data API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high throughput, with a focus on performance, observability, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lakebase Storage\u0026lt;/strong\u0026gt; — Drive continuous delivery within a team of experts in storage technology, distributed systems, and Rust. We manage the development and rollout of storage services that host millions of customer databases across dozens of regions, partnering with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure, and leading operational excellence in the 24/7 operation of our system.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The impact you will have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead a small team of 5-6 engineers, owning execution and on-time, high-quality delivery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay hands-on: drive architecture and design, and write code on the hardest parts of your team\u0026#39;s projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set and uphold high technical standards through architecture reviews, testing, and a culture of engineering excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow the engineers on your team with clear feedback and career development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align with partner teams on dependencies and unblock cross-cutting projects across the Lakebase stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering and product leadership to shape and deliver a long-term roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of engineering experience, including time as a tech lead or senior engineer, driving projects end-to-end.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on technical depth: you still design systems and write code, and can go deep on architecture for large-scale distributed services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale distributed services and the processes around testing, monitoring, and SLAs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;People management, or at least tech lead experience, is a must — you\u0026#39;re ready to take on direct reports and lead them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to align multiple stakeholders on competing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Able to balance short-term delivery against long-term stability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS (or higher) in Computer Science, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001015002,"name":"Engineering","child_ids":[4100264002,4100265002,4003101002,4062642002,4076790002,4049570002],"parent_id":null}],"offices":[{"id":4000545002,"name":"London, United Kingdom","location":"London, United Kingdom","child_ids":[],"parent_id":4033858002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8604608002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6436793002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Finance"],"value_type":"multi_select"}],"id":8604608002,"updated_at":"2026-07-24T19:29:04-04:00","requisition_id":"GAQ327R179","title":"Technical Accounting Manager","company_name":"Databricks","first_published":"2026-06-25T08:52:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;GAQ327R179\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;1846\u0026quot;\u0026gt;We are seeking an experienced \u0026lt;strong\u0026gt;Technical Accounting Manager \u0026lt;/strong\u0026gt;to join our team to lead the revenue accounting function in Bengaluru to ensure accurate, timely, and compliant revenue recognition for Databricks. Drive close excellence (MEC), strengthen internal controls (SOX-ready), and partner cross-functionally across RevOps, Deal Desk, Revenue Assurance, Sales Ops, Legal, FP\u0026amp;amp;A, and Audit. This position requires close collaboration with our core Revenue Accounting teams based in the U.S., providing essential global financial support to Databricks. This is an individual contributor position, and you will be required to work in PST hours.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ensure proper application of ASC 606 to customer contracts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform and review monthly accounting close activities and deliverables (i.e. journal entries, account reconciliations, revenue estimate calculations, month-end analytics).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute and continuously improve MEC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own revenue subledger-to-GL tie-out; prepare and review journal entries and reconciliations (deferred revenue, contract assets, unbilled AR).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform flux analysis vs. plan/prior period; resolve discrepancies quickly and conclusively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sponsor process and system enhancements across ERP, billing, and revenue automation; define requirements, lead UAT, and maintain controls and documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the financial reporting process by preparing supporting schedules\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish well-defined checklists, calendars, and SLAs for MEC and audits; escalate blockers early and bias for action to unblock close.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate transactions in accordance with revenue policies with minimal supervision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide management insights and recommendations for improving scalability and efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the external reporting requirements for the quarterly and annual audits\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive root cause analysis investigation and documentation for issues impacting scope of responsibility to drive first principle resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze large sets of data and identify key drivers to support trends in key financial metrics (i.e. revenue, unbilled revenue and deferrer revenue)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a strong partnership model with Deal Desk, Legal, Sales Ops, RevOps, and FP\u0026amp;amp;A to preempt revenue-impacting terms and resolve issues prior to booking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and maintain relationships with key business partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement and maintain required process \u0026amp;amp; internall controls, perform control procedure to ensure compliance with company policy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s in Accounting/Finance; CA/CPA/ACA certification required\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Minimum of 10+ years of experience in Revenue Accounting or Quote to cash or related financial operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience managing teams is preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Netsuite \u0026amp;amp; Salesforce are preferred, SAP experience also beneficial\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Salesforce and subscription billing platforms is strongly preferred, usage-based SaaS ASC 606 contract experience a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert knowledge of MS office suite\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work independently, to effectively manage time, prioritie tasks and work within deadlines with little supervision\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success improving MEC speed/quality, internal controls (SOX), and audit outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written documentation; confident, data-driven communication with cross-functional stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Align working hours to support global close and audit windows. Rotating overlap windows within the team for month-end, quarter-end, and audit cycles. Occasional extended coverage during peak periods\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to thrive in a fast-paced environment where priorities can shift and manage multiple workstreams simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;SQL proficiency to generate reports and dashboards are a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001272002,"name":"Finance","child_ids":[],"parent_id":4001019002}],"offices":[{"id":4007112002,"name":"Bengaluru, India","location":"Bengaluru, India","child_ids":[],"parent_id":4056341002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8431924002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":6367981002,"location":{"name":"Bengaluru, India"},"metadata":[{"id":9740521002,"name":"Company Assignment","value":"Databricks India Private Limited","value_type":"single_select"},{"id":24059030002,"name":"Career Page Posting Category","value":["Customer Success"],"value_type":"multi_select"}],"id":8431924002,"updated_at":"2026-07-24T19:28:56-04:00","requisition_id":"CSQ126R22","title":"Training \u0026 Operations Manager","company_name":"Databricks","first_published":"2026-02-27T07:22:16-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p data-pm-slice=\u0026quot;1 1 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;CSQ126R22\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Training \u0026amp;amp; Operations Manager, you will build and scale a predictable, AI-enabled learning operations engine across APJ that transforms regional execution into disciplined, data-driven, revenue-aligned outcomes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the operational backbone of the region, you will design systems, not just manage processes, ensuring APJ training operations scale with clarity, control, and commercial rigour.\u0026lt;/p\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2006\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;The impact you will have: \u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and run a scalable, data-driven operating cadence across APJ, including forecasting, QBRs, capacity planning, and executive reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Sales, Professional Services, and Learning \u0026amp;amp; Enablement leaders to translate global strategy into executable regional plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reduce operational friction by embedding automation, predictive analytics, and AI-first workflows into intake, scheduling, and performance tracking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve forecast accuracy and operational predictability by identifying risks early and driving structured corrective action.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead high-priority escalations with discipline and composure, converting recurring issues into systemic improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Increase stakeholder self-sufficiency by shifting standard operational requests into automated, AI-enabled pathways.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Standardize governance frameworks, decision rights, and ownership models to ensure consistent regional execution aligned with global standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize regional utilization and fill rates while maintaining cost discipline and delivery quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Elevate operational maturity across APJ by driving adoption of data-driven practices and structured execution frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-renderer-start-pos=\u0026quot;2367\u0026quot;\u0026gt;\u0026lt;strong data-renderer-mark=\u0026quot;true\u0026quot;\u0026gt;What we look for:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in Consulting, Sales Operations, Business Operations, Enablement Operations, or Professional Services Operations within high-growth technology companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience owning regional operating cadence, forecasting frameworks, and large-scale execution models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong commercial fluency, including understanding of utilization, forecast variance, and revenue discipline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience implementing automation, analytics, or AI-driven workflows to improve efficiency and predictability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical rigor with the ability to translate data into executive-level insight and actionable recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating in matrixed, international environments with sensitivity to regional and cultural nuances.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A structured, systems-oriented mindset with the ability to balance speed, governance, and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Databricks\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, sans-serif;\u0026quot;\u0026gt;Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(255, 54, 33);\u0026quot;\u0026gt;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://twitter.com/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://twitter.com/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\u0026quot;\u0026gt;Twitter\u0026lt;/a\u0026gt;,\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.linkedin.com/company/databricks\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.linkedin.com/company/databricks\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\u0026quot;\u0026gt;LinkedIn\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;span style=\u0026quot;color: rgb(0, 0, 0);\u0026quot;\u0026gt;and\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026lt;a style=\u0026quot;color: rgb(255, 54, 33);\u0026quot; href=\u0026quot;https://www.facebook.com/databricksinc\u0026quot; target=\u0026quot;_blank\u0026quot; data-saferedirecturl=\u0026quot;https://www.google.com/url?q=https://www.facebook.com/databricksinc\u0026amp;amp;source=gmail\u0026amp;amp;ust=1700237575733000\u0026amp;amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\u0026quot;\u0026gt;Facebook\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click \u0026lt;a href=\u0026quot;https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\u0026quot;\u0026gt;here\u0026lt;/a\u0026gt;.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Our Commitment to Diversity and Inclusion\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compliance\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\u0026#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4001014002,"name":"Education \u0026 Training","child_ids":[],"parent_id":4001013002}],"offices":[{"id":4056341002,"name":"Karnataka, India","location":"Karnataka, India","child_ids":[4007112002],"parent_id":4033855002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}],"meta":{"total":800}}